Robert Wade is a data engineer with nine years of hands-on experience building production ETL pipelines and predictive models, blending a deep analytics background from chemical markets with modern cloud tooling (AWS, Snowflake, Airflow, Docker). He has driven measurable business impact—forecasting commodity prices and demand to materially increase margins—and has led migrations to GitHub and CI/CD workflows to improve engineering velocity. Comfortable bridging technical and commercial teams, he has applied his modeling expertise across industries from explosives and chemicals to retail and real estate, and most recently explored satellite imagery for predictive analytics. A Galvanize-trained data scientist with an MS in Chemical Engineering, he pairs domain rigor with pragmatic software engineering to turn complex signals into operational data products.
9 years of coding experience
13 years of employment as a software developer
BS Chemical Engineering Chemical Engineering, BS Chemical Engineering Chemical Engineering at Montana State University-Bozeman
MS Chemical Engineering, MS Chemical Engineering at Oklahoma State University
Data Science, Data Science at Galvanize - Data Science Immersive
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