Rupesh Biradar

About Rupesh Biradar

I enjoy connecting the dots: be it ideas from different disciplines, people from different teams, or applications from different industries. Having said that, I am Backend-focused Software Development Engineer with 5+ years of experience designing and building distributed systems, RESTful APIs, and high-throughput data services at scale. Proven track record of delivering production software that processes petabytes of data, serves millions of requests per second, and maintains 99.9%+ availability — across the full software development lifecycle from API design and service architecture to testing, deployment, and operational excellence.

Experience

1. Software Engineer Ii

   Amazon Web Services (AWS)

   Sep 2024 — Present · Seattle, WA, US

   AWS Glue Zero ETL• Transferred PBs of data with billions of records within the first year of launch by designing and implementing mission-critical dataplane software for a distributed AWS Glue ZeroETL replication system — architecting the no code/low code integrations to support seamless data flow from 10+ native DB and SaaS data sources at exceptional production scale.• Sustained 99.9% service availability across 1M+ concurrent customer workloads by building a high-throughput, fault-tolerant async event processing and orchestration service in Java — integrating AWS ECS, DynamoDB, SQS, Lambda, Step Functions, and Apache Iceberg to ensure end-to-end data consistency and operational resilience across a distributed architecture.• Scaled delivery of 10M+ event logs across Glue ZeroETL sources by developing a microservice component for cross-account log routing and near real-time ingestion health monitoring — providing customers with actionable replication insights through CloudWatch logs, metrics, and EventBridge notifications.• Achieved 99%+ availability serving millions of requests per second by designing and implementing a distributed API layer with DAO interfaces, CRUD handlers, and well-defined service contracts for control plane and database operations — standardizing access across a private network while maintaining backward compatibility and security.• Reduced workload failures caused by resource exhaustion by 90% by engineering a data-driven infrastructure provisioning component that algorithmically analyzed historical processing trends to right-size compute and memory allocations — identifying outlier integrations with abnormally high resource requirements and enabling proactive capacity adjustments before impacting production pipelines.

Education

• The University of Texas at Dallas

  Master of Science - MS, Computer Science

• Vishwakarma Institute Of Technology

  Bachelor of Technology - BTech, Electronics Engineering