Jan 2024 – Oct 2025 · 1 yr 9 mos

• Description :
• Part of the EMR Dataplane team focusing on Hive, Tez, and Oozie. Developed and optimized Amazon EMR, a petabyte-scale big data platform for processing and analytics using distributed frameworks.
• https://aws.amazon.com/emr/
• Body of Work :
• ✅ Designed and implemented integration of Hadoop S3A Magic Committer with EMR Hive on S3A, achieving up to 3× improvement in Hive write performance vs OSS Hive, significantly improving reliability and performance of S3-backed write workloads.
• 🔗 https://aws.amazon.com/blogs/big-data/accelerate-apache-hive-read-and-write-on-amazon-emr-using-enhanced-s3a/
• ✅ Developed end-to-end TLS support across Hive, Tez, and Oozie when in-transit encryption is enabled on EMR clusters, enabling secure communication across distributed query execution components.
• 🔗 https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-encryption-support-matrix.html
• ✅ Added S3A and S3 Express One Zone support for Hive on EMR Serverless, enabling low-latency access patterns and expanding storage options for serverless big data workloads.
• 🔗 https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-express-one-zone.html
• ✅ Led Netty and Jetty upgrades across EMR Hive, Tez, and Oozie stacks, ensuring compatibility, stability, and security; contributed corresponding changes upstream to open-source projects.
• ✅ Supported production EMR customers across regions and timezones (Shein, Aviva, BCD Travel), debugging critical issues spanning Ranger integration, IPv6 support, and large-scale cluster migrations.

Jan 2022 – Dec 2023 · 1 yr 11 mos

• Description :
• Contributed to AWS EMR dataplane in Bengaluru, building scalable big data systems, improving Hive and Tez performance, driving Java and Hadoop upgrades, and delivering automated testing infrastructure for petabyte-scale analytics platforms.
• Body of Work :
• ✅ Built automated testing infrastructure using CloudFormation, CodeBuild, Lambda, EventBridge for PR-triggered validation
• ✅ Reduced query execution time by up to 20 percent using asynchronous Tez split opening optimization
• ✅ Collaborated on Hadoop upgrade from 3.2 to 3.3 across Hive and Tez stacks
• ✅ Implemented Java 11 and 17 runtime support improving Hive query performance by approximately 10 percent
• ✅ Upgraded Hive 3.1.3 and Tez 0.10.2 ensuring compatibility and system stability improvements
• ✅ Designed scalable EMR testing frameworks enabling reliable automated validation at large scale
• ✅ Ensured cross-team coordination delivering consistent performance across distributed big data systems
• ✅ Improved reliability of Hive and Tez workloads through systematic version and runtime enhancements
• ✅ Mentored two interns successfully guiding both toward full-time return offers
• ✅ Enhanced EMR dataplane performance and scalability across Hive, Tez, and Oozie frameworks

Apr 2021 – Jan 2022 · 9 mos

• Description :
• Supported AWS Supply Chain platform in Bengaluru, resolving large-scale internal issues, improving operational efficiency, and enabling seamless procurement workflows while collaborating across engineering, business, and vendor ecosystems.
• Body of Work :
• ✅ Resolved 2000 plus internal tickets covering debugging, queries, and production issues
• ✅ Triage and root cause analysis across cross-organizational complex supply chain systems
• ✅ Collaborated with engineering, business, and vendors for smooth partner onboarding
• ✅ Streamlined integration processes improving efficiency across data center infrastructure procurement workflows
• ✅ Authored runbooks and KT videos improving understanding and reducing support load
• ✅ Enhanced operational efficiency through structured documentation and reusable support processes
• ✅ Identified and resolved critical production bugs ensuring system stability and reliability
• ✅ Awarded SCOS Superstar Award recognizing exceptional operational excellence and performance

Jul 2020 – Apr 2021 · 9 mos

• Description :
• Delivered customer-facing support for AWS Premium Support in Hyderabad, resolving Big Data service issues, ensuring high-quality solutions, and achieving top performance in case resolution and ownership among peers.
• Body of Work :
• ✅ Supported customers across EMR, Glue, Athena through email, chat, and calls
• ✅ Achieved highest case resolution and ownership among Big Data CSA cohort
• ✅ Delivered high-quality solutions ensuring strong customer satisfaction and reliability
• ✅ Resolved complex customer issues across AWS Big Data services consistently
• ✅ Maintained high standards of solution quality earning Quality Champion Award
• ✅ Ensured timely and effective support for diverse customer environments globally

Feb 2020 – Jul 2020 · 5 mos

• Description :
• Built foundational cloud expertise in Bengaluru while developing internal tools to debug AWS Glue workflows using Python and Boto3, improving log analysis and enhancing root cause identification for distributed data processing systems.
• Body of Work :
• ✅ Gained foundational understanding of cloud computing and AWS ecosystem services
• ✅ Developed AWS Glue log debugging tool using Python and Boto3
• ✅ Parsed logs to identify root causes of AWS Glue job failures
• ✅ Improved troubleshooting efficiency for internal data processing workflows significantly
• ✅ Strengthened analytical approach to debugging distributed cloud-based systems
• ✅ Enhanced understanding of AWS Athena and Glue data processing services