Developed and scaled the High Volume Extract (HVE) system, boosting journal line import capacity from thousands to millions

Engineered and optimized REST APIs using Java Spring Boot and .NET, improving data flow and reducing latency across Workday’s financial systems

Designed and scaled cloud-native ETL pipelines leveraging Java, Docker, Postgres, Oracle, and ELK for high-volume financial data

Spearheaded a front-end modernization initiative for high-volume data features using React.js and TypeScript, enhancing user experience and performance

Built and delivered customer-facing financial planning integrations, enabling smooth onboarding for large-scale enterprise clients

Scaled an app-based TV video delivery platform from 40K to 3M users, improving system reliability for real-time content delivery

Maintained high application availability using Postgres, Cassandra, Elasticsearch, Solr, and Memcached in a distributed environment

Developed real-time event streaming systems using Kafka, supporting high-throughput video data flows

Enhanced REST API platform services, improving data flow efficiency and simplifying integration across streaming components

Doing full stack development on a consumer facing financing web application.

Also developing for a data ingest product that serves data to a variety of data analytics frameworks.

Worked in a mid-sized agile development team helping to build and deliver a Java EE web application.

A short term project developing a windows desktop application using the Windows Presentation Foundation framework in C#.