I am an early-career computer scientist specializing in data science, automation, and cloud-based data engineering. I am currently working in an independent position to deliver a scalable, HIPAA-compliant ETL pipeline. This solution integrates multi-sourced and multi-formatted EMR data into a standardized database schema using a script-driven command pattern enabled via polymorphic deserialization under the Azure Functions Isolated Worker Model.

My skills in ETL, data analytics, and workflow automation were first developed through brute-force methods made necessary by the realities of laboratory operations. Today, these self-taught foundations are backed by formal computer science education, professional experience, and an ever-growing full-stack approach.

In addition to automating database transactions from a LIMS and correcting years' worth of historical test data I also design analytical dashboards and build pipelines that extract actionable insight from this data. Whether reporting trended quality data or using data mining to identify trends in a sample cluster. My diverse background working in labs across a variety of industries fosters an intuitive understanding of lab data flows, allowing me to bridge the gap between scientific compliance and modern software engineering.