Software Engineer (Contract) at Freddie Mac

Cloud-native Java backend for mortgage underwriting workflows at a top US financial institution. Integrated backend services with AWS components including RDS, Lambda, and API Gateway; containerized with Docker for consistent environment management; enabling scalable and fault-tolerant cloud infrastructure for high-availability financial applications. Built data pipelines supporting mortgage underwriting workflows processing thousands of daily loan transactions, ensuring reliable data flow across distributed systems. Developed and enhanced Java Spring Boot microservices orchestrated on Kubernetes for Freddie Mac's Loan Closing and Loan Quality Advisor platforms, contributing to cloud-native transformation initiatives that improved system reliability by 30% and reduced mean time to resolution (MTTR) on production defects by 20%. Optimized SQL query performance and refactored legacy data access layers using Spring Data JPA, integrating Redis caching to reduce database load and improving

Software Engineer at Tata Consultancy Services

Production-grade microservices and event-driven pipelines on AWS for enterprise distributed systems. Implemented event-driven architecture with Apache Kafka and AWS S3, incorporating retries and rate limiters to optimize real-time data ingestion and reduce latency by 40%. Engineered and deployed production-grade microservices using Spring Boot, Spring MVC, and J2EE, leveraging Java Streams API and Functional Interfaces to optimize data processing pipelines by 35% across high-throughput distributed services. Configured AWS IAM policies and roles to enforce least-privilege access across distributed services, ensuring secure and compliant cloud infrastructure aligned with least-privilege security principles. Scaled Spring Data JPA + Hibernate persistence layer to handle complex entity relationships across distributed systems and engineered RESTful APIs serving cross-service communication at enterprise scale. Contributed to all phases of SDLC in Agile teams using Git and Jira, configured J