Jan 2024 – Dec 2024 · 11 mos · Cambridge, Massachusetts, United States · Hybrid

• Optimized data insertion into PostgreSQL from S3 bucket using Apache NiFi processors, enabling direct insertion into partitions and reducing the insertion time by 40%, boosting the performance of the data processing pipeline.
• Engineered highly available and distributed Spring Boot usage insights monitoring application for hospitals, fully automating and improving billing accuracy, leading to a 75% increase in billing precision.
• Enhanced data retrieval performance from 3 minutes to 500 milliseconds with indexing, sharding, and optimized queries.
• Delivered critical updates within an accelerated timeframe, resolving timeout issues, streamlining user interface interactions, and optimizing loading times, achieving superior customer satisfaction and an enriched user experience.
• Migrated databases from Hive to Citus, managing 100+ schema differences while maintaining uninterrupted functionality.

May 2023 – Aug 2023 · 3 mos · United States · Remote

• Collaborated in the development of RESTful APIs, resulting in a substantial improvement in the KPIs of MLH Resume tool.
• Resolved 20 open issues and developed 7 new features in 3 months, improving the capabilities of the Gradle tool.

Sep 2022 – Dec 2024 · 2 yrs 3 mos · Boston, Massachusetts, United States · Remote

Jun 2019 – Aug 2022 · 3 yrs 2 mos · Bangalore Urban, Karnataka, India

• Developed a scalable Knowledge Hub microservice application using TypeScript, Node.js, Express.js, on the backend and MongoDB, Redis for the database to offer easier way to manage the company's assets.
• Scheduled resources in advance of user requests, resulting in a significant reduction of latency from 10ms to 2ms.
• Reduced parsing time of logs by 94% by migrating legacy code from TCL to Java.
• Implemented a real-time data ingestion pipeline utilizing Kafka, enabling collection from various logging microservices and distribution to downstream analytic; enhancing scalability and ensuring consumers received relevant information.
• Built a cloud-native maps module with AWS Lambda, DynamoDB, EventBridge improving location accuracy by 40% and enhancing resource allocation, reducing equipment downtime.
• Transitioned from Cloud Foundry to Docker and Kubernetes, achieving containerization and auto-scaling capabilities,which resulted in a 40% performance improvement and ensured a seamless user experience even during high-load periods.
• Championed a test-driven development approach, writing comprehensive test cases in Mockito, JUnit, and tackled issues systematically using CI/CD and agile development tools like Git, Jenkins, Jira, Azure DevOps with the QA team.
• Engaged with clients and team to grasp requirements, addressed nearly 100% of issues, and proposed innovative solutions.

Feb 2019 – Jun 2019 · 4 mos · Bangalore Urban, Karnataka, India

Jun 2019 – May 2021 · 1 yr 11 mos · Bengaluru, Karnataka, India

May 2018 – Aug 2018 · 3 mos · Bengaluru, Karnataka, India · On-site

• • Revamped a Java application to increase the Bootcamp users by 40% with features such as CRUD operations, along with pagination and filter functionality, while securely integrating with the database using Spring Data JPA and Spring Security.