Technologies
Core
Python and SQL are my primary tools. I build data pipelines, asynchronous processing jobs, validation frameworks, and API services. Most of my production work runs in Python against Oracle or SQL Server.
Data Engineering & Infrastructure
Day-to-day work involves moving and validating data across Oracle and SQL Server environments. On the infrastructure side, I deploy containerized jobs in Azure and use Docker for consistent execution across environments. Working knowledge of Kubernetes.
Financial & Market Data
Experience building systems that ingest, normalize, and act on market data in real time — EMA-based signal generation, breakout detection, and trade execution through brokerage APIs.
Supporting
Used across full-stack features, CI/CD pipelines, and internal tooling. React and Node.js were primary on the trade and settlement logging system at Talcott; Azure DevOps and Power BI are day-to-day at the enterprise level.