Summary
Marshall Mcquillen is a Senior Data Engineer with nine years of experience building reliable data and ML pipelines across healthcare and analytics-focused companies. He has led end-to-end pipeline automation, migrated warehouses to serverless architectures, and aligned batch and API ML logic to ensure consistent model behavior in production. Comfortable bridging data science and engineering, Marshall pairs hands-on ETL, API backend work, and model integration with clear documentation for non-technical stakeholders. Based in Evergreen, Colorado, he brings a problem-driven mindset honed through roles from data scientist to ML Ops engineer and instructor—an educator’s clarity that helps teams adopt robust, auditable solutions. Notably, he combines practical business background with technical depth, having moved systems from manual “source-to-sea” workflows to automated, serverless operations.
9 years of coding experience
7 years of employment as a software developer
Business Administration and Management General, Business Administration and Management General at Colorado State University
Data Science, Data Science at Galvanize Inc