Kalyan C

Designed and developed scalable RESTful APIs using Java Spring Boot and Node.js for enterprise-grade financial services platforms, processing over 500K daily transactions with sub-100ms response time SLAs. Built dynamic, responsive ReactJS frontend modules integrated with backend microservices, reducing client-reported UI defects by 35% through component reusability and thorough unit testing. Architected microservices components adhering to domain-driven design (DDD) principles, enabling independent deployability and horizontal scalability across AWS infrastructure. Optimized complex SQL queries and MongoDB aggregation pipelines, reducing average query execution time by 40% and improving report generation performance. Implemented serverless architectures using AWS Lambda functions and API Gateway configurations for serverless event-driven workflows, reducing infrastructure overhead by 25%. Integrated third-party financial data APIs with robust error handling, retry logic, and circuit-b

Developed core banking application features using Java 11 and Spring Boot, supporting mortgage and deposit products for over 2 million active customers. Built RESTful APIs and data access layers with Spring Data JPA and Oracle DB, ensuring ACID compliance and high throughput for financial transactions. Created ReactJS customer-facing components for online banking portals, improving UX scores by 28%. Implemented MongoDB document storage for customer preferences and audit logs, enabling flexible schema evolution without downtime. Performed query profiling and indexing on PostgreSQL and Oracle, resolving N+1 query problems and reducing page load times by up to 45%. Collaborated with security to implement OAuth 2.0 and JWT authentication flows; automated regression test suites with JUnit and Selenium; contributed to AWS migrations of monolithic modules to independently deployable Spring Boot microservices on EC2/ECS. Produced API documentation using Swagger/OpenAPI specifications; on-call

Developed back-office fund administration automation tools using Java Spring MVC and Node.js, processing hedge fund NAV calculations for portfolios exceeding $500B AUM. Built RESTful microservices for trade data ingestion and reconciliation pipelines, handling millions of records per batch cycle with high reliability. Designed SQL stored procedures and optimized data warehousing queries in PostgreSQL to support complex financial reporting across multiple fund structures. Integrated third-party market data vendors via API connectors built in Node.js, ensuring real-time pricing feeds with failover and retry mechanisms. Developed ReactJS dashboards for fund operations teams, enabling real-time monitoring of trade settlement status and exception queues, cutting manual escalations by 30%. Participated in Agile ceremonies and contributed to sprint planning, backlog grooming, and retrospective sessions to continuously improve delivery velocity. Wrote comprehensive unit tests and performed pee