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Manasi Gautam

I am a Java Full Stack Developer and Business Analyst with a passion for building scalable, user-centric solutions that bridge the gap between technology and business needs.

Skilled in Java, Spring Boot, Hibernate, REST APIs, Angular/React, and database management (SQL/NoSQL). Experienced in end-to-end software development, from architecture design to deployment.

Recently, I completed AI Dojo training, further expanding my expertise in artificial intelligence, machine learning concepts, and modern data-driven problem solving.

  • Role

    full stack java engineer

  • Years of Experience

    6.2 years

Skillsets

  • Oracle
  • JUnit
  • Kubernetes
  • Low Level Design
  • Material UI
  • Microservices
  • MongoDB
  • MS Visual Studio
  • MySQL
  • Nexus
  • JPA
  • Postgres
  • Postman
  • Python
  • Sonar cube
  • Spring
  • Spring MVC
  • STS
  • TypeScript
  • Unit Testing
  • Eclipse
  • Java
  • AWS
  • Spring Boot
  • Algorithm
  • Apache Kafka
  • Confluence
  • CSS
  • Data Structure
  • Docker
  • Angular
  • Git
  • GraphQL
  • Hibernate
  • HTML
  • Insomnia
  • Java8
  • Jenkins
  • Jira

Professional Summary

6.2Years
  • Dec, 2024 - Present1 yr 6 months

    Associate Tech Production Manager

    Optum
  • Dec, 2022 - Dec, 20242 yr

    System Engineer

    Tata Consultancy Services
  • Oct, 2021 - Dec, 20221 yr 2 months

    Sr Software Engineer

    Capgemini
  • Feb, 2020 - Oct, 20211 yr 8 months

    Software Engineer

    Capgemini

Applications & Tools Known

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    SVN

  • icon-tool

    BitBucket

  • icon-tool

    Jenkins

  • icon-tool

    Confluence

  • icon-tool

    Nexus

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    Docker

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    Kubernetes

Work History

6.2Years

Associate Tech Production Manager

Optum
Dec, 2024 - Present1 yr 6 months
    Identified API gaps, enhancing development handover efficiency for payer claims. Designed and maintained backend services using Spring Boot for optimal performance. Produced clean, testable code with emphasis on unit and integration testing. Collaborated with teams to deliver robust media and streaming solutions. Participated in code reviews and architecture discussions for continuous improvement. Built and trained AI agent for report analysis using generative AI tools. Requirement gathering (customer facing) and solution design proposals. Knowledge sharing with rest of the team on product deliverables, coaching for newer team members.

System Engineer

Tata Consultancy Services
Dec, 2022 - Dec, 20242 yr

Sr Software Engineer

Capgemini
Oct, 2021 - Dec, 20221 yr 2 months

Software Engineer

Capgemini
Feb, 2020 - Oct, 20211 yr 8 months

Achievements

  • Received Rising STAR award for independently handling the Coca-cola project as a Full Stack Developer

Major Projects

3Projects

AVIS BUDGET CAR RENTAL, TCS

    Developed and maintained scalable backend services for Rate Shop, Aviss core pricing engine, enabling real-time rate adjustments across global markets. Migrated legacy mainframe components to AWS cloud-native architecture, improving system flexibility, performance, and cost-efficiency. Integrated RESTful APIs for reservation, vehicle availability, and customer profile management, supporting mobile and web platforms. Implemented secure authentication and session management using OAuth2 and JWT to enhance user data protection across rental systems. Automated data synchronization between Microsoft Azure and Amazon S3, ensuring reliable cross-platform data flow for analytics and reporting.

POSTNORD, TCS

    Development of fast and responsive APIs. Migration of applications from SVN to Bit Bucket. Designed making the code compatible for updated versions. Added log4J changes and doing database migration. Doing Voltage Integration wherever needed. Checking sync vulnerabilities.

Payer Claims, Optum

    Partnered with stakeholders to gather and document requirements for payer claims processing systems, ensuring compliance with healthcare regulations. Analysed end-to-end claims lifecycle to identify gaps and streamline workflows. Collaborated with development teams to design business rules engines for claims validation, reducing manual errors and improving first-pass resolution rates. Conducted data analysis and reporting on claim volumes, denial trends, and turnaround times to support operational decision-making. Supported integration of claims systems with provider networks, clearinghouses, and payer portals, improving interoperability and efficiency.

Education

  • BTech in Computer Science

    G L Bajaj Institute of Technology and Management (2020)
  • SSC in PCM

    Saraswati Vidya Mandir (2015)

Certifications

  • Aws level 0 and level 1 certified

  • Aws certified cloud practitioner