Summary
Gregory Martinez is a data engineer in Seattle with a 12-year career that blends scientific rigor from a physics background with over four years of focused data engineering in production environments. He has designed cloud-based ETL and data infrastructure across AWS, Azure, Snowflake and DBT, automating ingestion, cleaning, and warehouse health for organizations like Milliman, Age of Learning, and Honeywell. Gregory pairs hands-on scripting and GUI tooling (Python, Tkinter, VBA) with analytics and dashboard work in Tableau, enabling operational improvements and customer-facing insights. His early lab and research roles reflect a strong experimental mindset and attention to data provenance, which he applies today as a data steward enforcing metadata and standardization. Practical, detail-oriented, and comfortable translating domain problems into robust pipelines, he brings a scientist’s statistical methods to scalable engineering problems.
12 years of coding experience
2 years of employment as a software developer
Computer and Information Sciences, General, Computer and Information Sciences, General at College of San Mateo
Bachelor of Science (B.S.), Chemical Engineering; Energy and Environment, GPA: 3.528, Bachelor of Science (B.S.), Chemical Engineering; Energy and Environment, GPA: 3.528 at University of California, Irvine