Summary
Aidan Draper is a versatile data and software engineer turned coffee entrepreneur based in Portland, Oregon, with nine years of experience building data warehouses, ETL pipelines, and production data platforms. He has driven cost and performance improvements in cloud data stacks—migrating Airflow to containerized microservices, implementing CI/CD for data workflows, and refactoring Snowflake/dbt marts—while also shipping custom Django OLAP tooling and analytics integrations. After stepping back from full-time tech, Aidan channeled his analytical curiosity into Base Coat Coffee, designing small-batch roast experiments, soliciting sensory feedback, and transparently documenting roast variables for a growing community. His background spans academic computer vision research and hands-on data engineering at scale, giving him a rare blend of research rigor and production discipline. Outside work he’s a FLOSS supporter, Liverpool FC fan, and enjoys exploring coffee science with the same iterative, measurement-driven approach he applied to data systems.
9 years of coding experience
5 years of employment as a software developer
Haldane High School
Bachelor of Science, (B.S.) Computer Science and (B.S.) Statistics w/ Minors in Data Science and Mathematics, Bachelor of Science, (B.S.) Computer Science and (B.S.) Statistics w/ Minors in Data Science and Mathematics at Elon University
Graduate Coursework, Computer Science, Graduate Coursework, Computer Science at University of Notre Dame
English