Sep 2023 – Nov 2025 · 2 yrs 2 mos · United States · On-site

• Optimized latency by migrating Texas Disability History data to Amazon S3 and distributing content via Amazon CloudFront (CDN), reducing access times from seconds to milliseconds.
• Streamlined survey workflows by replacing Excel-based data collection with serverless AWS Lambda functions and backend automation in Java (Spring Boot), achieving 90% faster data processing and enabling scalable cloud-driven data collection.

Jan 2022 – Jul 2023 · 1 yr 6 mos · Bengaluru, Karnataka, India · On-site

• Engineered a Java-based Spark ETL pipeline to ingest raw reconciliation data from Amazon S3 and Kafka real-time events, mapping it to standardized data models to ensure 100% accuracy in reconciliation calculations under tight deadlines.
• Integrated AWS services including Amazon ElastiCache (Redis) and Amazon EC2 to accelerate data retrieval and processing, reducing ETL latency by 30 minutes and optimizing reconciliation performance.
• Developed backend components in Java and Spring Boot, leveraging AWS Lambda for event-driven triggers and seamless data transformations across distributed systems.
• Implemented Prometheus and Grafana dashboards to trace fraud transactions, proactively identifying faulty components and improving system resilience by cutting issue identification time from weeks to days.
• Mentored four developers on Java best practices, design patterns, and CI/CD workflows using Jenkins and Codacy’s AI-powered code quality tool, resulting in a 40% improvement in code quality.

Jul 2020 – Dec 2021 · 1 yr 5 mos · Bengaluru, Karnataka, India · On-site

• Architected and developed a full-fledged fee calculation service for payment gateway transactions using Java, J2EE, and Spring Boot, including API design aligned with Figma, database selection, and TDD with unit and regression testing, ensuring 100% accurate fee computation.
• Integrated Amazon S3 for secure, scalable storage of transaction settlement data from 5K+ customer accounts, ensuring reliable retrieval, audit-trail tracking, and long-term data durability.
• Built a task management service as an event-driven orchestrator using Kafka’s pub-sub model, establishing a PaaS-style solution with centralized control and task updates for downstream services, reducing error tracing effort by 30%.
• Designed and deployed microservices on Amazon ECS and EC2, leveraging auto-scaling and load balancing to handle high-volume payment gateway traffic with zero downtime and optimized compute costs.
• Provided critical production support during on-call rotations by troubleshooting backend and end-to-end issues, performing root cause analysis, and debugging logs in Kibana and Splunk to restore service health and maintain system availability.
• Deployed applications using Docker and Kubernetes(K8s) for containerization, improving deployment speed by 60%.

Oct 2019 – Jul 2020 · 9 mos · Bengaluru, Karnataka, India · On-site

• Addressed scalability challenges by implementing a load balancer and Auto Scaling Group with CloudWatch alarms, enabling RESTful APIs to handle 1M+ daily requests and traffic spikes, ensuring smooth scaling and service availability.
• Improved slow analytics query performance by enhancing MySQL database architecture with normalized data models, indexing (DDL), and optimizing stored procedures and queries (DML), achieving a 40% performance boost.
• Configured and managed Application Load Balancer (ALB) and Amazon Route 53 to enable intelligent traffic routing, high availability, and zero-downtime blue-green deployments across microservices.
• Automated DevOps CI/CD pipelines using Jenkins and GitHub with automated tests, reducing 80% release time.
• Implemented RESTful APIs via Amazon API Gateway, managing authentication, throttling, and monitoring through CloudWatch to ensure consistent API performance and security.

Jul 2017 – Oct 2019 · 2 yrs 3 mos · Bengaluru Area, India

• Applied data structures and algorithms to optimize system efficiency, reducing query execution time by 40%.
• Migrated a monolithic insurance system to a microservices architecture, improving system resilience by 60%.
• Conducted 100+ code reviews, improving code quality and reducing production bugs by 50%.
• Developed and deployed scalable microservices and REST APIs, enhancing data processing speed by 50%.