Building and maintaining an enterprise SaaS product for delivery management. Scaled from near-zero to $1.8M annual revenue as a team of two engineers.

Work areas include backend product development, API integrations, event-driven architecture, Azure infrastructure and devops, product strategy, and project management directly with clients.

Built vendor data ETL pipelines and APIs from scratch for a new trading business. Automated derived calculations from the raw data to help build research and prediction models.

Built a reliable, high-volume market data pipeline using Apache Kafka. Migrated the market data functionality of the application to a microservice architecture.

Developed and maintained high-volume data pipelines to import market data into the portfolio analysis application using Python and Apache Airflow. Built a new data feed that greatly expanded coverage of fixed income market data, and now serves as the primary data source thereof.