Abhishek bande
I have over 12 years of experience in IT, with a focus on full-stack development across banking, financial services, travel, and construction domains. I am proficient in .NET technologies (C#, .NET Framework, .NET Core, WCF, WebServices, MVC), React, Java, Angular, and various frontend technologies such as HTML, CSS, and JavaScript. Additionally, I have extensive experience with AWS and Azure cloud services, CI/CD tools like Jenkins, TeamCity, and Docker, and have worked on e-commerce platforms such as AbanteCard, OpenCart, and nopCommerce. Familiar with Agile/Scrum methodologies, I have led teams and played a key role in client interactions, gathering requirements, and delivering solutions in a collaborative environment.
- Role
Consultant
- Years of Experience
13.9 years
Skillsets
- Angular
- Bootstrap
- Java - 12 Years
- JavaScript - 9.0 Years
- Jenkins
- Jira
- jQuery - 9.0 Years
- MySQL - 12 Years
- Docker - 8.0 Years
- C#
- Entity Framework
- GraphQL
- Microservices
- MongoDB
- PostgreSQL
- RabbitMQ
- Unit Testing
- AI
- AJAX
- Apache Kafka
- ASP.NET Core
- Azure Storage
- Bamboo
- Bitbucket
- C++
- Camunda
- CentOS
- CI/CD
- Cloudformation
- Confluence
- Dynamics 365
- EDI
- Git
- Github
- GitLab
- Golang
- JUnit
- LangChain
- Linux
- LLM
- Logic Apps
- Mockito
- n8n
- Next.js
- Node.js
- PHP
- Postman
- Power Apps
- Power Automate
- Power BI
- Python
- rag
- Redis
- Redux
- Ruby
- Sage 300
- Scala
- SOAP
- Spring WebFlux
- SQL
- SQL Server
- SSIS
- SSRS
- stripe
- Swagger
- TypeScript
- Ubuntu
- VB.NET
- Windows
- .NET
- .NET 6
- .net 8
- .net 9
- .NET Core
- Agile Scrum
- Ai-assisted code generation
- Ai-assisted debugging
- AI-assisted development
- AI-assisted development
- Ai-assisted documentation
- Apache
- ASP.NET
- Asp.net mvc
- Asp.Net Web API
- AWS DynamoDB
- AWS EC2
- AWS EKS
- AWS Lambda
- AWS S3
- AWS SQS
- Azure AD
- Azure Analysis Services
- Azure API Management
- Azure Data Factory
- Azure DevOps
- Azure Functions
- Azure Service Bus
- Azure sql
- Azure SQL DW
- Backend Development
- Batch Processing
- Batch Scheduling
- CCM
- ChatGPT
- Claude
- cloud-native architecture
- code documentation
- Code Review
- Crystal Reports
- CSS3
- Cursor
- Databases
- Dependency Analysis
- Dependency mapping
- Distributed Systems
- Elasticsearch
- ETL
- Express.js
- FastAPI
- Flask
- Full Stack Development
- functional validation
- GitHub Copilot
- Gradle
- Hangfire
- Hibernate
- Highcharts
- HTML5
- Informix 4GL
- JSON
- JWT
- Kubernetes
- Laravel
- Legacy application modernization
- Legacy code analysis
- Machine Learning
- Make.com
- Maven
- Microsoft Dynamics CRM
- Migration strategy
- NestJS
- Nuxt.js
- OAuth2
- Obdx
- Openai gpt-4 api
- Opensearch
- Optimizely
- Oracle Database
- Oracle Flexcube
- Perl
- Production cutover
- Production Monitoring
- Production validation
- React Native
- React.js
- Redis Caching
- Regression Testing
- Rest APIs
- Ruby on Rails
- Ruby on Rails
- Salesforce
- SAP ECC
- Scalable system design
- SmartCOMM
- Sparkpost
- Spring Boot
- Spring Framework
- Technical Architecture
- Twilio
- Veeva Vault
- Webflow
- Webforms
- Banksphere
- Production incident troubleshooting
- Application reliability engineering
- Switchware
- 4gl batch processing
- Batch job inventory
- 4gl to java migration
- 4gl to .net migration
- Parallel run validation
Professional Summary
- Nov, 2025 - Present1 yr
Consultant
Travitons - May, 2022 - Oct, 20253 yr 5 months
Contractor / Consultant
Turing - Jul, 2020 - Nov, 20211 yr 4 months
Technical Lead
Globant India - Mar, 2012 - Apr, 20153 yr 1 month
Programmer Analyst
Cognizant Technology Solutions - Apr, 2015 - Feb, 20182 yr 10 months
Senior Software Engineer
Tavisca Solutions - Mar, 2018 - Jul, 20202 yr 4 months
Technical Lead
Velotio Technologies
Applications & Tools Known
TypeScript
ReactJS
Java
Spring Boot
PostgreSQL
MySQL
HTML, CSS and JavaScript
AWS (Amazon Web Services)
Javascript
Node.js
C#
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Jenkins
GitLab
JSON
AWS
Azure
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Docker
Kubernetes
TeamCity
CircleCI
Jira
Bamboo
Agile
Waterfall
CI/CD
CosmosDB
NoSQL
SVN
Git
GitHub
TFS
Bitbucket
AWS S3
AWS EC2
AWS Cloud Formation
Azure Cosmos DB
Azure Notification Hub
Oracle SQL Developer
SSMS
SSRS
Work History
Consultant
TravitonsContractor / Consultant
TuringTechnical Lead
Globant IndiaTechnical Lead
Velotio TechnologiesSenior Software Engineer
Tavisca SolutionsProgrammer Analyst
Cognizant Technology SolutionsAchievements
- Winner of Xceed11 in Wed Development Contest
Major Projects
Supply Chain Intelligence
Dell- Developed Dimension and Metrics APIs to meet widget-specific requirements.
- Actively participated in Agile ceremonies, including planning, daily stand-ups, reviews, and retrospectives.
- Conducted peer reviews for tasks completed by team members.
- Mentored junior developers and provided knowledge transfer sessions for other teams on widget configuration.
Supply Chain Intelligence
Role
Technical Lead
Duration
March 2024 Till Date
Team Size
6
Environment: ASP.NET Core, REST API's, Angular 12+, Azure SQL, Docker, Highcharts widgets, Java, JSF, JSP, Anular 12+, Jquery, AWS, PostgreSQL, MySql, REST APIs, HTML, CSS, Git, Bitbucket, Github, Bamboo, Jira, Agile SCRUM, Jenkins, CI/CD, Windows, Azure, C#.NET, Rest, APIs, Azure, SQL, Azure, Functions, Azure, Storage, Microservices, Azure, SQL, DW, AAS, PBI, ASP.Net, Angular 10/11/12/13/14/15/16, JQuery, Kubernetes, CI, CD, Webservers, Databases, Marketing, Design, 3D, Design, Agile, Jira, Webflow, Backend, HTML, CSS, JavaScript, Python, C#, Bootstrap, MSSQL, Redis,Apache, Kafka, PostgreSQL, Spring WebFlux, Redux, TypeScript , Spring, Boot, HTML5, CSS3, JavaScript, GitLab, CI, CD, Python3, AWS, MongoDB, Swagger, Confluence, GraphQL, Postman, API, Jira, Agile, Power BI, MS Dynamics CRM, Dynamics 365, Logic Apps, Power Automate, Power Apps, RabbitMQ, AWS, HTML5, Java Script, SQL, UI, Linux, ReactJS, ASP.NET, Core, Node.js, Rest, api, NestJS, EF Core,TDD, RestAPI Services
Hangfire for background jobs, Email service, Twilio for mobile SMS, Google Map Location service.
Description
The Supply Chain Intelligence (SCI) project, an AI-driven solution by SymphonyAI, focuses on improving supply chain visibility, agility, and decision-making. The middleware REST APIs serve as the bridge between the GraphQL endpoints and the Angular-based frontend. These APIs fetch reporting, metrics, and dimensions data from GraphQL, transforming the responses to align with the widget configurations required for the UI.
Role & Responsibilities
Partner Supplies Sales
Paragon Routing and Scheduling
AI search application for leading energy regulator company
E-Commerce for leading health and wellness products
EY - Helix
Globant- Preparing low tech designs.
- Responsible for implementing new features.
- Analysis of requirements, writing down the user stories.
- Code review process.
- Bug fixes/ Maintaining code quality using the QC gates
- Preparing CI/CD and maintaining the same.
EY - Helix
Role
Technical Lead
Duration
July 2020 Till Date
Team Size
12
Environment
Java, JSF, JSP, Anular 12+, Jquery, AWS, PostgreSQL, MySql, REST APIs, HTML, CSS, Git, Bitbucket, Github, Bamboo, Jira, Agile SCRUM, Jenkins, CI/CD, Windows, Azure, C#.NET, Rest, APIs, Azure, SQL, Azure, Functions, Azure, Storage, Microservices, Azure, SQL, DW, AAS, PBI, ASP.Net, Angular 10/11/12/13/14/15/16, Umbraco 8, NuxtJS, Unity, Frontend, Full, Stack, JQuery, Java, Ruby, On, Rails, Perl, React, Native, Flutter, HighLoad, Deployment, Kubernetes, CI, CD, Webservers, Databases, Marketing, Design, 3D, Design, Manual, Testing, User, Story, Mapping, Analytics, Marketing, Unit, Economics, Product, Hypothesis, Market, Research, JTBD, Agile, Jira, Client, Success, Management, Webflow, Backend, HTML, CSS, JavaScript, Python, PHP, NodeJS, Golang, C#, Scala, , Android, Bootstrap, MSSQL, Redis, Pandas, UX, JS, Node, JS, Project, managemet, Apache, Kafka, PostgreSQL, Spring WebFlux, Redux, Typescript, Spring Boot, HTML5, CSS3, JavaScript, GitLab, CI, CD, Python3, AWS, MongoDB, Swagger, Confluence, GraphQL, Postman, API, Jira, Agile, Power, BI, MySQL, RabbitMQ, MS Dynamics CRM, Dynamics 365, Logic Apps, Power Automate, Power Apps, AWS, HTML5, Java, Script, jQuery, SQL, UI, Linux, ReactJS, ASP.NET, Core, Node.js, Rest, api, Node, JS, ExpressJS, React, Redux, JavaScript, ES6, ASP, ., NET, Core, JSON, Java, NodeJS, Express, AWS, S3, C#, ASP.NET, MVC, Web, API, WebForms, NodeJS, NestJS, EF Core,TDD, RestAPI Services
Hangfire for background jobs, Stripe payment gateway, SparkPost for email service, Twilio for mobile SMS, Google Map Location service.
Description
EY Helix is an integral element of audits. It is a global analytics platform, which includes a suite of data capture and analytics tools that dramatically increase not only the depth and breadth of captured data, but also the value of insight derived from it. The EY Helix library of analyzers supports the audit from risk assessment to execution, addressing a business entire operating cycle
Role & Responsibilities
Enterprise List & Generic Tile Framework
Jobility
Velotio- Worked on application performance improvement.
- Responsible for implementing new feature.
- Analysis of requirements.
- Implementing unit test cases.
- Developed a chatting system for worker and company.
- Bug fixes/ Maintaining code quality.
Jobility
Role
Technical Lead
Duration
May 2019 July 2020
Team Size
9
Environment
ASP.Net, React, Native, Java, JSF, JSP, Anular 12+, Jquery, AWS, PostgreSQL, MySql, REST APIs, HTML, CSS, Git, Bitbucket, Github, Bamboo, Jira, Agile SCRUM, Jenkins, CI/CD, Full Stack, ASP.Net, React, Native, Automatic, Testing, Python, PostgresQL, Docker, SCSS, Spring WebFlux, Redux, Typescript, Bootstrap, MSSQL, MySQL, RabbitMQ, Angular 8/9/10, REST, CSS3, JavaScript, Git, SQL, Node, JS, UI, Apache, Kafka, PostgreSQL, Figma, Ps, Ai, Ae, Rest, api, HTML5, CSS3, JavaScript, GitLab, CI, CD, Python3, AWS, Microservices, MongoDB, JSON, GraphQL, Java, Postman, API, Agile, MS, Word, Excel, PowerPoint, MS Dynamics CRM, Dynamics 365, Logic Apps, Power Automate, Power Apps, Python, Material, UI, UX, Spring, Boot, Jira, Power, BI, EF Core,TDD, RestAPI
Third Party system Integration:
Viewpoint,BambooHR, InEight, NewForma, Sage.
Services
Hangfire for background jobs, Stripe payment gateway, SparkPost for email service, Twilio for mobile SMS, Google Map Location service.
Description
Jobility is a platform for companies looking out for on demand workers and workers who would like to work based on their availability.
It helps workers to work when and where they want. It also helps companies to have workers on demand.
Jobility makes it easy for both workers and companies to find exactly what theyre looking for. People are matched to jobs through the matching engine.
Jobility platform consist of three separate portals for Worker, Company and Admin.
Role & Responsibilities
Ryvit
Velotio- Allows your construction applications to talk, no coding required
- Helps you preserve your most valuable resource: time
- Enables your company to optimize for more profitability
- Ensures your data is clean and valid for accurate reporting and decision making.
- Developed backend (APIs) for partner, test and admin portals.
- Worked on developing backend for partner and test portal which is used to synchronize the data from one system/partner to another.
- Involved with developing test framework.
- Development and designing of project architecture.
- Business logic designing and coding.
- Analysis of the requirements/production issues.
- Writing unit tests and integration tests.
- Delivering weekly releases in stringent deadlines.
- Bug fixes/ Maintaining code quality.
- CI/CD integration.
- New enhancement/ feature development.
- Daily Code reviews.
Ryvit
Role
Technical Lead
Duration
March 2018 May 2019
Team Size
4
Environment
Jenkins, CI/CD, DOTNET core, C#, Entity Framework core, SqlServer, Angular 6/7, Cosmos Db, Event Hub, Service Bus, Azure Storage, Full, Stack, ASP.Net, React, NativeJava, JSF, JSP, Anular 12+, Jquery, AWS, PostgreSQL, MySql, REST APIs, HTML, CSS, Git, Bitbucket, Github, Bamboo, Jira, Agile SCRUM, Jenkins, CI/CD, DOTNET core, C#, Entity Framework core, SqlServer, Angular 6/7, Cosmos Db, Event Hub, Service Bus, Azure Storage, Full, Stack, ASP.Net, React, Native, Automatic, Testing, Python, PostgresQL, Docker, SCSS, Spring WebFlux, Redux, Typescript, Bootstrap, MSSQL, MySQL, RabbitMQ, REST, CSS3, JavaScript, Git, SQL, Node, JS, UI, Apache, Kafka, PostgreSQL, Figma, Ps, Ai, Ae, Rest, api, HTML5, CSS3, JavaScript, GitLab, CI, CD, Python3, AWS, Microservices, MongoDB, JSON, GraphQL, Java, Postman, API, Agile, MS, Word, Excel, MS Dynamics CRM, Dynamics 365, Logic Apps, Power Automate, Power Apps, PowerPoint, Python, Material, UI, UX, Spring, Boot, Jira, Power, BI,TDD, RestAPI
Third Party system Integration:
Viewpoint, eSub, Procore, BambooHR, ZLien, InEight, NewForma, Sage.
Description
The Ryvit Platform enables access and connectivity to the leading Construction ERP solutions. Ryvit was founded on the fundamental observation that technology can empower and accelerate the use and adoption of software within the Construction Industry. To that end, the Ryvit Platform enables access to the leading ERP solutions in the industry by providing connectivity that otherwise does not exist.
Ryvits iPaaS solution delivers a Connected Construction eco-system of configurable, turn-key integrations enabling the seamless flow of data between the most popular on premise and SaaS applications used in the construction industry.
Role & Responsibilities
PlatformOne
Point Bank Api
Tavisca- Development and Designing of project Architecture.
- Business Logic Designing and Coding
- Analysis of the requirements/production issues.
- Writing Unit Tests/ Integration Tests.
- Delivering weekly releases in stringent deadlines.
- Engaged with Linux based release process through Jenkins.
- Bug fixes/ Maintaining code quality.
- CI integration.
- New Enhancement/feature development,
Point Bank Apis
Role
Senior Software Engineer
Duration
February 2016 February 2018
Team Size
4
Environment
DOTNET core, C#, Entity Framework Core, MySql, ReactJS, Angular 2/3/4/5, Unity, ASP.Net, Ruby On Rails, Perl, React Native, Flutter, AWS, HighLoad, Kubernetes, CI/CD, Databases, Graphic Design, Marketing Design, 3D Design, Manual Testing, Java, JSF, JSP, Anular 12+, Jquery, AWS, PostgreSQL, MySql, REST APIs, HTML, CSS, Git, Bitbucket, Github, Bamboo, Jira, Agile SCRUM, Jenkins, CI/CD, DOTNET core, C#, Entity Framework Core, MySql, ReactJS, Angular 2/3/4/5, Unity, ASP.Net, Ruby On Rails, Perl, React Native, Flutter, AWS, HighLoad, Kubernetes, CI/CD, Databases, Graphic Design, Marketing Design, 3D Design, Manual Testing, Cusdev, Analytics, Market Research, JTBD, Client Success Management, HTML/CSS, JavaScript, Python, Android/Java, Golang, C#, PostgresQL, Docker, Kubernetes, C#, TypeScript, SCSS, Spring WebFlux, Redux, Typescript, MSSQL, MySQL, Redis, RabbitMQ, UX, REST, CSS3, HTML5, JavaScript, Git, JS, Docker, SQL, Node JS, UI, Linux, WordPress, Apache Kafka, PostgreSQL, MS Dynamics CRM, Dynamics 365, Logic Apps, Power Automate, Power Apps, Spring Boot, Unit Testing, .NET Core, Rest api, GitLab CI/CD, Python3, Linux / Ubuntu / CentOS, AWS, Microservices, MongoDB, Scrum, Swagger, Code review, JSON, Confluence, jira, GraphQL, Java, Postman, API, Agile, Trello, English, Python, AWS EKS, AWS S3, AWS SQS, AWS EC2, Serverless (AWS Lambda), AWS CloudFormation, AWS Cloud Platform, AWS AutoScaling, AWS DynamoDB,TDD, RestAPI
Description
Work with proven rewards/loyalty specialist company to administer program and provide a
Seamless experience for agent experience to include auto upload of booking data that can be viewed in a dashboard in real time and an automated e-gift card redemption process.
Role & Responsibilities
Reservoir Navigation Services & WITSML Composite Log
Hotel Search
Tavisca- Development of Hotel Search Operation.
- Delivering work in stringent deadlines.
- Attending daily meeting calls to give task status, coordinating with onsite team for completion of tasks.
- Business Logic Designing and Coding.
- Analysis of the requirements/production issues.
- Bug fixes.
- Unit testing operation.
Hotel Search
Role
Senior Software Engineer
Duration
October 2015 January 2016
Team Size
3
Environment
Java, JSF, JSP, Anular 12+, Jquery, AWS, PostgreSQL, MySql, REST APIs, HTML, CSS, Git, Bitbucket, Github, Bamboo, Jira, Agile SCRUM, Jenkins, CI/CD, DOTNET core, C#, Entity Framework Core, MySql, ReactJS, Unity, ASP.Net, Ruby On Rails, Perl, React Native, Flutter, AWS, HighLoad, Kubernetes, CI/CD, Databases, Graphic Design, Marketing Design, 3D Design, Manual Testing, Cusdev, Analytics, Market Research, JTBD, Client Success Management, HTML/CSS, JavaScript, Python, Android/Java, Golang, C#, PostgresQL, Docker, Kubernetes, C#, TypeScript, SCSS, Spring WebFlux, Redux, Typescript, MSSQL, MySQL, Redis, RabbitMQ, UX, REST, CSS3, HTML5, JavaScript, Git, JS, Docker, SQL, Node JS, UI, Linux, WordPress, Apache Kafka, PostgreSQL, Spring Boot, Unit Testing, .NET Core, Rest api, GitLab CI/CD, Python3, Linux / Ubuntu / CentOS, AWS, Microservices, MongoDB, Scrum, Swagger, Code review, JSON, Confluence, jira, GraphQL, Java, Postman, API, Agile, Trello, English, Python, AWS EKS, AWS S3, AWS SQS, AWS EC2, Serverless (AWS Lambda), AWS CloudFormation, AWS Cloud Platform, AWS AutoScaling, AWS DynamoDB,TDD, RestAPI
Description
The goal of this project is to define APIs for the car search service for client.
Search: This operation is used by consumers to search the Cars for particular location with the available amenities, Car agencies and Car classes.
Plug-ins: Implemented Plug-in for Filtering, Paging and Sorting Handlers.
Role & Responsibilities
Car Search
Tavisca- Development of Hotel Search Operation.
- Delivering work in stringent deadlines.
- Attending daily meeting calls to give task status, coordinating with onsite team for completion of tasks.
- Business Logic Designing and Coding.
- Analysis of the requirements/production issues.
- Bug fixes.
- Unit testing operation.
Car Search
Role
Senior Software Engineer
Duration
June 2015 September 2015
Team Size
3
Environment
DOTNET core, C#, Entity Framework core, MySql, ReactJS, Unity, Java, JSF, JSP, Anular 12+, Jquery, AWS, PostgreSQL, MySql, REST APIs, HTML, CSS, Git, Bitbucket, Github, Bamboo, Jira, Agile SCRUM, Jenkins, CI/CD, DOTNET core, C#, Entity Framework core, MySql, ReactJS, Unity, ASP.Net, Ruby On Rails, Perl, React Native, Flutter, AWS, HighLoad, Kubernetes, CI/CD, Databases, Graphic Design, Marketing Design, 3D Design, Manual Testing, Cusdev, Analytics, Market Research, JTBD, Client Success Management, HTML/CSS, JavaScript, Python, Android/Java, Golang, C#, PostgresQL, Docker, Kubernetes, C#, TypeScript, SCSS, Spring WebFlux, Redux, Typescript, MSSQL, MySQL, Redis, RabbitMQ, UX, REST, CSS3, HTML5, JavaScript, Git, JS, Docker, SQL, Node JS, UI, Linux, WordPress, Apache Kafka, PostgreSQL, Spring Boot, Unit Testing, .NET Core, Rest api, GitLab CI/CD, Python3, Linux / Ubuntu / CentOS, AWS, Microservices, MongoDB, Scrum, Swagger, Code review, JSON, Confluence, jira, GraphQL, Java, Postman, API, Agile, Trello, English, Python, AWS EKS, AWS S3, AWS SQS, AWS EC2, Serverless (AWS Lambda), AWS CloudFormation, AWS Cloud Platform, AWS AutoScaling, AWS DynamoDB,TDD, RestAPI
Description
The goal of this project is to define APIs for the car search service for client.
Search: This operation is used by consumers to search the Cars for particular location with the available amenities, Car agencies and Car classes.
Plug-ins: Implemented Plug-in for Filtering, Paging and Sorting Handlers.
Role & Responsibilities
Investment Goal Service (9PLN)
Cognizant- Development of Update Operation.
- Delivering work in stringent deadlines.
- Attending daily meeting calls to give task status, coordinating with onsite team for completion of tasks.
- Business Logic Designing and Coding.
- Analysis of the requirements/production issues.
- Bug fixes.
- Unit testing operation.
Investment Goal Service (9PLN)
Role
Programmer Analyst
Duration
July 2014 April 2015
Team Size
12
Environment
Java, JSF, JSP, Anular 12+, Jquery, AWS, PostgreSQL, MySql, REST APIs, HTML, CSS, Git, Bitbucket, Github, Bamboo, Jira, Agile SCRUM, Jenkins, CI/CD, ReactJS, Full Stack, JQuery, ASP.Net, Java, AWS, Deployment, Kubernetes, CI/CD, Databases, Agile, Backend, HTML/CSS, JavaScript, Python, NodeJS, C#, PostgresQL, Docker, Kubernetes, C#, Bootstrap, MSSQL, MySQL, Redis, RabbitMQ, REST, HTML5, Git, SQL, UI, Apache Kafka, PostgreSQL, Spring WebFlux, Redux, Typescript,Spring Boot, Unit Testing, .NET Core, Spring framework, Rest api, Hibernate, GitLab CI/CD, Python3, Linux / Ubuntu / CentOS, C# asp.net, AWS, Microservices, Swagger, C# .net, jira, GraphQL, Java, API, Jira, Agile, GitHub, ASP.NET MVC, Python, ASP.NET Web API, .NET/C#, C#, ASP.NET MVC, Web API, WebForms, SpringBoot, C#(.net6), Oracle DB, RestAPI
Description
9PLN Service:
The goal of this project is to deliver an online investment guidance solution that will help investors create,fulfill and manage a basic investment strategy.
Update operation: This operation is used by consumers to update the investment profiles and the selected fund details. Also once the user complete purchase this operation Is used to insert the purchased fund details in the database. This operation also updates beta suitability related info for the associated account.
Role & Responsibilities
Viacom ARC Migration
Test Harness
Cognizant- To test the WCF Service operations.
- Provide user maintenance screens to configuration data within the 9DOC database schema.
- Provide user query access screens to audit transaction and error data.
- Provide user query access screens to audit e-Signature transaction data within database schema.
- Development of Front End.
- Delivering work in stringent deadlines.
- UI Related change requests.
- Attending daily meeting calls to give task status, coordinating with onsite team for completion of tasks.
- Business Logic Designing and Coding.
- Analysis of the requirements issues.
- Bug fixes.
- Unit testing for each screen.
Test Harness
Role
Programmer Analyst
Duration
March 2014 June 2014
Team Size
12
Environment
NET/C#, C#, ASP.NET MVC, Web API, WebForms, SpringBoot, C#(.net6), RestAPI, Java, JSF, JSP, Anular 12+, Jquery, AWS, PostgreSQL, MySql, REST APIs, HTML, CSS, Git, Bitbucket, Github, Bamboo, Jira, Agile SCRUM, Jenkins, CI/CD, ReactJS, Full Stack, JQuery, ASP.Net, Java, AWS, Deployment, Kubernetes, CI/CD, Databases, Agile, Backend, HTML/CSS, JavaScript, Python, NodeJS, C#, PostgresQL, Docker, Kubernetes, C#, Bootstrap, MSSQL, MySQL, Redis, RabbitMQ, REST, HTML5, Git, SQL, UI, Apache Kafka, PostgreSQL, Spring Boot, Unit Testing, .NET Core, Spring framework, Rest api, Hibernate, GitLab CI/CD, Python3, Linux / Ubuntu / CentOS, C# asp.net, AWS, Microservices, Swagger, C# .net, jira, GraphQL, Java, API, Jira, Agile, GitHub, ASP.NET MVC, Python, ASP.NET Web API, .NET/C#, C#, ASP.NET MVC, Web API, WebForms, SpringBoot, C#(.net6), RestAPI
Description
Test Harness is a web application which is used to test the E-Signature Service. Following are some features of this Web application:
Role & Responsibilities
Electronic Signature Service (E-sign)
- Development of Complete Operation.
- Delivering work in stringent deadlines.
- Attending daily meeting calls to give task status, coordinating with onsite team for completion of tasks.
- Business Logic Designing and Coding.
- Analysis of the requirements/production issues.
- Bug fixes.
- Unit testing of operation.
Electronic Signature Service (E-sign)
Role
Programmer Analyst
Duration
August 2013 February 2014
Team Size
12
Environment
.NET/C#, C#, ASP.NET MVC, Web API, WebForms, SpringBoot, C#(.net6), Oracle DB, RestAPI,Java, JSF, JSP, Anular 12+, Jquery, AWS, PostgreSQL, MySql, REST APIs, HTML, CSS, Git, Bitbucket, Github, Bamboo, Jira, Agile SCRUM, Jenkins, CI/CD, ReactJS, Angular 6/7/8, Full Stack, JQuery, ASP.Net, Java, AWS, Deployment, Kubernetes, CI/CD, Databases, Agile, Backend, HTML/CSS, JavaScript, Python, NodeJS, C#, PostgresQL, Docker, Kubernetes, C#, Bootstrap, MSSQL, MySQL, Redis, RabbitMQ, REST, HTML5, Git, SQL, UI, Apache Kafka, PostgreSQL, Spring Boot, Unit Testing, .NET Core, Spring framework, Rest api, Hibernate, GitLab CI/CD, Python3, Linux / Ubuntu / CentOS, C# asp.net, AWS, Microservices, Swagger, C# .net, jira, GraphQL, Java, API, Jira, Agile, GitHub, ASP.NET MVC, Python, ASP.NET Web API.
Description
Task service containing a set of operations to facilitate the processing of a client signature for an electronic generated form. The goal will be to abstract as much as possible the details of the form generation, the signature status, and the storage of the form in an image repository to allow for simple streamlined processing of document requests.
Role & Responsibilities
ERP System & School Management System
Traffic Master
Internal Management System
Learning Management Systems
Education
B.E. (Computer Engineering)
Maharashtra Academy Of Engineering, Alandi (2012)
Certifications
Bfs l0 certification
L1 certification (investment banking and brokerage)
Nac certificate in '.net framework' programming
Nac certificate in java programming
Nac certificate in .net framework programming
Nac certificate in 'java' programming
A Few Screening Questions Before You Begin
I'm Abhishek Bande. I have eight plus years of experience specializing in distributed systems. I've been integrating scalable back-end architecture for a couple of years. I've led the design and implementation of microservices-based platforms using Node JS, Nest JS with PostgreSQL as the primary database. I have hands-on expertise on messaging systems like Kafka, RabbitMQ, and MQTT for building real-time event-driven systems. I'm familiar with LoRaWAN protocols for low-power IoT communication and have designed end-to-end pipelines that integrate devices with cloud infrastructure on AWS using services like S3, API Gateway, and others. Recently, I've been focusing on applying event processing architecture design patterns to build scalable, fault-tolerant IoT ecosystems that can handle high-throughput telemetry data while ensuring reliability and observability. In short, I enjoy solving complex architectural challenges, mentoring team members, and staying up to date with modern design patterns and cloud-native practices. I'm currently looking to take on a principal engineer or tech lead role where I can lead system design efforts, make architectural decisions, and drive technology adoption aligned with business goals.
How would you optimize a Kafka or a RabbitMQ consumer in a microservice environment where IoT devices are constantly streaming data? Optimizing Kafka and RabbitMQ consumers in a microservice IoT environment requires very careful attention to scalability and fault tolerance. So, I first have a consumer configuration for throughput and parallelism. For Kafka, I'll increase the consumer group parallelism and use multiple consumers in the same group for parallel consumption. I'll tune the phase dot min dot bytes or phase, max dot wait dot m s balance between latency and throughput. I'll use the max dot poll dot records wisely to prevent processing overload by limiting the number of message pools, or I'll ensure topic partitions are evenly distributed across the consumers. I'll also ensure that to avoid duplicates in case of retries. For RabbitMQ, I'll use prefetch, which I'll set basic dot prefetch count and to control message flow and avoid memory pressure as well. Also, for multiplex consumer threads on a single connection for efficiency, where multiple channels per connection, I'll go for manual HCM mode where I allow the try or data from failure while giving control over the live as well. I'll distribute workload and avoid bottlenecks on a single queue as well. And for message processing optimization, I'll go for synchronous processing using worker pools or some task queues inside the consumer microservices. I'll group microservices and processes for IoT messages in batches if order is critical. I'll also monitor the downstream DB APIs and apply rate limiting for before management as well. I'll add exponential backoff with retries and timeouts or try policies, and I'll use some c s slash bull or lens for j as well. For scaling and fault tolerance, I'll use container orchestration like Kubernetes based on CPU and custom metrics like Kafka lag, Prometheus, Grafana, or Kafka UI tools to ensure consumers keep up. I'll redirect failed messages to a dead letter queue for later analysis or reprocessing. I'll also ensure important processing logic so that any duplicate messages don't affect the state, and I'll use correlation IDs for deduplication in the messages for tracking and retries. And, that's it. To optimize all this, I focus on horizontal scalability, back pressure handling, and aware consumer parallelism and important processing with some resource-efficient patterns. Additionally, it's crucial to maintain a pipeline that can observe telemetry while ensuring delivery.
What steps would you take to identify and fix performance bottlenecks in a microservice architecture? So, in order to identify and fix performance bottlenecks, I'll take a systematic and layered approach. First, I will establish observability. So, before optimizing, I make sure my system is observable. I'm using distributed tracing, centralized logging, metrics collection, and service mesh observability. Then I'll isolate the bottleneck. Once I observe my system is observable, I'll look into the highlights and points, tracing them back to specific services or DB calls. I'll check the consumer logs by Kafka and RabbitMQ, indicating slow consumers and overloaded services, as well as high CPU, memory, or network IO. I'll also look for slow database queries, such as n+1 queries, missing indexes, excessive locking, or retries under load. To optimize the bottleneck, I'll go for an application layer and profile code. On the Node.js side, I'll inspect using console dot log or node, and maybe for Nest.js built-in profilers for cache-relevant computations or API responses. I'll avoid synchronous and blocking code and use async I/O. On the database side, I'll add indexes, use connection pooling, and avoid heavy reads. On the network side, I'll enable compression using HTTP/2 or gRPC for low latency and reduce payload sizes. I'll also enable request-level caching, use Kafka or a queue with different poll settings, and ensure retry logic doesn't amplify pressure. First, I'll set up proper autoscaling services using Kubernetes, HP, and cloud auto-scaling services or groups. I'll place latency-sensitive services closer to users and tune resource limits and request in different Kubernetes. I'll also use refactoring patterns to break long and fat services into smaller units if needed. And then, I'll apply long-term fixes, such as rate limiting, throttling, edge caching, or service measures.
How would you work with other architects on the same project? Well, this has been a scenario in my current project as well where working with other architects on the same project requires strong collaboration and clarity, a system thinking approach to ensure architectural consistency, performance, and long-term durability as well. So I'll align my goals with the business and technical objectives, scalability, resilience, and time to market. And I'll define the guiding principles, for example, for architecture or cloud-native or 12-factor apps, and security is a top priority. Then I'll choose a shared vocabulary. I'll use a grid for terminology and architecture documentation standards. So I believe in defining a common architecture language and decision frameworks to reduce ambiguity and design drift as well. So I'll also divide the responsibilities with clear ownership. I'll split the architecture by domain, for example, IoT, which includes IoT ingestion, API layer, storage, and observability. I'll assign system boundaries and give autonomy to Windows subsystems, and I'll use design governance and system mechanisms to ensure design consistency. So weekly or biweekly, we'll sync up to discuss design changes, integration impacts, or performance considerations as well. We'll use Confluence and other tools to mentor version architecture documents. I'll also involve other architects using mobile boarding or collaborative tools like Miro or Lucid charts as well. So we'll co-create POCs and API contracts before handing them off to the teams, and ensure design reviews are alignment checkpoints. Then, coordinating on cross-cutting concerns, I work with other architects to define shared standards for security, observability, and then we also have auto-scaling, resilience, DevOps teams, and data storage as well. So I'll host internal tech talks and roundtables to share architecture insights and listen and learn as well. I'll mentor senior engineers to grow future architects. So these are things I usually do.
In the sorted array, binary search algorithm implementation in Node JS, the bug is in the line where the end index is set. The issue is that the end index is being set to one index beyond the valid range in JavaScript, which is zero-indexed. This causes the mid index to potentially be out of bounds and lead to a comparison with undefined, resulting in failures to find valid targets at the end of the array. The corrected code should use `length - 1` instead of just `length` to set the end index. This ensures that the mid index stays within the valid range and avoids the comparison with undefined.
Okay, how would you design a system to handle a certain x increase in device traffic without impacting performance? So, let's say, if we wanted to design a system that would handle device traffic efficiently without impacting performance. We need to have our system be asynchronous, event-driven, and on a scalable architecture that is separate from the main workload. So, first of all, we should define critical versus non-critical activities. Critical activities are things that must be processed in real-time, like device authentication, telemetry data, or heartbeat signals. Non-critical activities are things that can be delayed, like analytics, aggregation, logging, or enrichment backups. The architectural overview would be as follows: we would have IoT devices, and then trigger with an API gateway or MQTT broker or some ingestion layer. It would then go to a real-time processor layer with validators or filters and routes, and then to a passing queue, such as Kafka. From there, it would go to Kafka, RabbitMQ, or MQ, or maybe AWS IoT Core. And then, post that, it would go to immediate actions, like background workers or maybe some analytics things as well. First of all, asynchronous offloading via messaging is something we can use, like with Kafka and traffic management, for non-critical workloads, like data storage and analytics and some enrichment as well. For an event-driven architecture, we can process events on AWS or Azure, to decouple the traces, and have consumers for logging as well. And for real-time parts, we should always be lean, so only critical alerts or threshold or device control messages are processed in real-time. We'll also leverage edge processing if applicable, wherever there is. We'll be pushing refiltering, throttling, and even basic ML scoring to edge gateways or devices as well. For scalability, we'll go for auto-scale microservices using Kubernetes, HP, and Fargate, or some back-pressure handling, like using Redis or Memcached for cold parts or heavy jobs, long running, or kind of uncomfortable heavy tasks, like model training or reporting. It should go into batch processing as well. For monitoring and failsafe mechanisms, we have dead queues, circuit breakers, and structured logs, some metrics as well.
How would you build and manage a team in APAC? Considering the diverse region and their unique challenges, where would you start? Alright, so I guess this isn't my first project where I have managed. Building and managing software engineering teams in APAC specifically, like, in a CCS specific region. So it requires a thoughtful approach and that balances regional diversity and cultural nuances. Sometimes those issues arise with varying bachelor's degrees, like, in software engineering or leadership as well. So I'll start with understanding the purpose and local context, like having an understanding of the business goals and regional context. Are we building an R&D center or a delivery center or support team, or maybe a new product or entering a local market? So I'll tailor the team design based on the market and maturity, and then map the regional strengths like India, Vietnam, Philippines. So it's having strong delivery and talent pipelines. And then, for example, Singapore, Japan, and Australia have product design and tech leadership, and regulatory sensitive leaders as well. And we need to build the right team structure first. I would prefer a hybrid model, starting with a core team member of senior engineers, local or relocated, who set the foundation, and then add local hires and junior talent gradually with balances of experienced mentors. And engineer managers or tech leads usually have back-end and front-end developers, dev ops, product owners, and then recruit strategically and region-wise, considering the trends. To partner with local universities and some bootcamps, hiring interns or using regional tech teams. And we will establish a strong cultural foundation, posting an inclusive culture, respecting language barriers, and certain cultural holidays, and other stuff. Right? I'll get encouraging one-on-one interactions with skip levels and using collaborative tools. So, we would need to handle time zone diversity. So establishing core overlapping hours, like three to four hours a day. We should collaborate with each other and overlap with each other. We use a similar model for supporting and handing off when needed and ensuring communication, like weekly syncs or async updates or daily Slack or everything. And we'll prioritize documentation first. Right? Everything you might think of in investing in growth and retention. So for that, I'll go for mentoring different programs with global counterparts and deliver tech talks, workshops. I'll address specific challenges, like maybe if we have any ambiguities or compliance issues. So yeah. So anyway, we need to align the team with the purpose and regional sense with that as well.
What strategies would you use to ensure that messages between I/O devices and microservices using RabbitMQ are processed in order despite network hiccups? So I don't really use the issue that message. Okay. So yeah. First of all, I'll leverage message grouping by some routing key or queue. So, use one queue per device or device group logically, sharding, ensuring all messages for a given device go to the same queue, and then this ensures ordering within the device scope. I'll use prefetch count equal to one to enforce strict serial processing, and I'll configure the RabbitMQ consumer with the channel prefetch count of one to process only one message at a time per consumer, which prevents messages from being pulled and processed in parallel, which can cause out-of-order execution as well. And, I'll use publisher confirms on the RabbitMQ broker to ensure the broker has issued and processed the message. I will use manual acknowledgments from consumers only after processing. Even with sticky ordering or network hiccups or resets, this can lead to retries or duplicate deliveries as well. So, while I ensure microservices are important, processing the same message multiple times should reproduce the same output. And, leveraging the message timestamps and sequence numbers, I'll include the sequence numbers and the message payload from the I/O devices so the consumer service can detect out-of-order messages or buffer messages until the missing one is received. And, alerting for dropped or out-of-order packets or implementing dead-letter queues and trap policies. So, we can avoid some blocking pipelines due to the bad queue. And, we should be using dead-letter queues for error handling and other things like that where we might need to implement other things. So, we'll go for some okay. Yeah. And, for partial ordering or when full ordering isn't scalable, so full ordering across all messages doesn't scale well. So, use partitioning by device groups, maintain local ordering when needed, and allow concurrent preprocessing under for underutilized device types as well. So, yeah, that's pretty much it.
Can you explain how you would implement an event-driven system using Kafka or RabbitMQ? Fortunately, yes. Because that's somewhere I have set up these things multiple times. So, first of all, I'll define domain events, like start identifying the domain events in the system. For example, a device generated event or some sensor data received event or a threshold exceeded event or other triggers. So, for each event, it should be immutable and represent something that has already happened. I'll choose the right broker for that. I'll use Kafka when you need high throughput and want to reply to messages or retain them for analytics, with stronger ordering guarantees, poor partitioning, or use RabbitMQ for low latency and real-time communication or complex routing via topics or exchanges or poor message acknowledgments and dead lettering. For a producer, each microservice or IoT gateway publishes events to Kafka topics or RabbitMQ exchanges. I'll use serialized formats like JSON, Protobuf, or Avro. I'll add metadata, headers, like time stamps, host device, and collision ID. For the consumers, I'll use Kafka consumer groups or RabbitMQ queues to distribute load. I'll then consume and process the different events asynchronously and perform the business logic. I'll make sure to acknowledge the processed messages, handle bit drives gracefully, and use item potency to avoid duplicates. For microservice integration, each microservice subscribes to the events it's interested in and use event routers and event gateways like Kafka Streams and Nextiva's event bus. If you want me to talk about the scalability and fault tolerance, I'll consider it next. When using multiple partitions for high throughput, I'll deploy replication and acknowledgments to all and durability as well. I'll also use Kafka for streams for stream processing and RabbitMQ for using queues or enabling message persistence and publisher confirms. And I'll use RabbitMQ and use prefetch limits to manage the consumer load.