Designed and maintained high-performance backend services powering Capital One’s data governance platform used by 100+ internal teams, processing petabytes of data across AWS (S3, DynamoDB, RDS)

Redesigned legacy batch workflows into an event-driven, real-time data pipeline using Spark, AWS Glue, EMR, and Lambda, improving reliability and reducing metadata ingestion latency

Optimized Spark and AWS Glue jobs to scale from 1 TB in pre-prod to multi-petabyte workloads in production, improving performance and lowering infrastructure cost

Led end-to-end service architecture from design and implementation to observability, using OpenTelemetry to enable proactive monitoring and improve data quality

Collaborated cross-functionally with data platform teams, internal customers, and product to ensure data quality, regulatory compliance, and seamless integration with enterprise systems

Designed and built cost optimization improvements for our infrastructure for Authorization services, and helped save > $700K per annum.

Implemented features related to OAuth2 flows for all Twitter requests, system to tamper proof authentication data, centralized auth solution for all external requests, Twitter Single Sign On, and identity provider.

Improved services with cache optimizations, feature limits to reduce spam, and make services FTC-compliant.

Performed on-call duties including maintenance of teamʼs services, address customer questions and requests, manage service deployments and incidents, and debug issues related to service.

Built internal tool, saving a 1000+ hrs per annum for the team, to automate creating, queuing, prioritizing, and tracking deployments made to AWS Serverless services across various regions.

Full-stack project built with React, DynamoDB, Python/ Flask, and AWS SNS. Designed, architected, and implemented the solution using distributed system principles.

Offered guidance to the computer science department to advance technology programs and initiatives on campus.