Payal Chauhan

Architected and developed C# .NET Core microservices using EF Core and LINQ, following clean architecture and DDD principles. Built high-performance REST and GraphQL APIs, optimizing LINQ queries and EF Core data pipelines. Designed PostgreSQL schemas, implemented Redis caching, and improved performance for high-traffic services. Implemented JWT, OAuth2, and role/claims-based security across microservices. Developed SignalR real-time dashboards and an automated PDF certificate masking service, reducing manual effort by ~70%. Managed CI/CD pipelines using Azure DevOps, Jenkins, Docker, GitHub Actions, and YAML, improving deployment speed and release consistency. Led code reviews, SonarQube quality checks, and enforced best practices for C#, EF Core, and LINQ. Collaborated with QA, DevOps, and UI teams, supported production releases, and drove Agile ceremonies. Prepared DB migration scripts, release notes, and deployment documentation for smooth environment transitions.

Developed backend modules for PRAM, Strawhut Media, Celebrity Chat, and LERETA using C# .NET Core, EF Core, LINQ, and SQL Server. Built Angular and Blazor (Server) frontends integrated with C# APIs for enterprise and high-volume applications. Delivered reusable UI components, lazy-loaded modules, and optimized workflows to improve performance and UX. Implemented backend business logic, authentication, chat, media handling, and analytics features for scalable platforms. Improved SQL performance through indexing, query optimization, and stored procedure tuning, reducing execution time by ~30%. Built Restaurant POS (ASP.NET MVC) with billing workflows, menu management, and offline handling. Implemented Section 508 accessibility standards across frontend components. Actively participated in the full SDLC, including design, development, testing, deployment, and production support.

Developed C# ASP.NET MVC backend modules using EF Core and LINQ for enterprise e-Discovery workflows. Implemented document metadata processing, complex filtering, analytics, and audit pipelines, leveraging LINQ expressions. Built interactive dashboards and visualizations using KendoUI and d3.js, integrated with EF Core-backed APIs. Designed and optimized PostgreSQL queries, EF Core data models, and Elasticsearch indexing pipelines for large-scale datasets. Improved search performance and data retrieval, enabling faster document ingestion and investigation workflows. Created SQL migration, data mapping, and DevOps support scripts, streamlining deployments and environment setup. Supported Section 508 accessibility, production debugging, and performance tuning across APIs, databases, and search layers. Collaborated in Agile ceremonies and cross-functional teams for high-visibility enterprise releases.

Enhanced enterprise web applications by developing C# and ASP.NET MVC modules using EF Core for Rewards and GST systems. Implemented backend logic with C# and EF Core repositories, ensuring maintainable data access layers. Improved performance of Angular + Cordova hybrid mobile applications by optimizing EF Core queries and SQL execution. Assisted in C# code refactoring, EF Core entity tuning, and resolving performance bottlenecks. Collaborated with senior developers on debugging, enhancements, and backend optimizations.

Implemented and customized enterprise ERP, CRM, and Task Management applications using C#, ASP.NET MVC, EF Core, and LINQ. Developed C# backend business logic for workflow automation, role-based access control, SLAs, and reporting modules using LINQ-based data queries. Utilized EF Core for data access, entity mapping, and transactional operations across SQL databases. Performed SQL data migration, validation, and optimization, ensuring accurate data transition across environments. Enhanced application stability through C# code fixes, LINQ query optimization, and QA validations. Configured dashboards, alerts, reminders, and operational logic to support enterprise clients. Delivered user training, go-live support, and documentation to streamline product adoption and reduce onboarding time by ~30%.