Summary
David Deepwell is a Senior Specialist and seasoned Python developer with 11 years of experience building test-driven, production-ready software for research and high-performance computing environments. Based in Calgary, he leads research software development at the University of Calgary, designing data management platforms and automated pipelines that enable research at scale across Canadian sites. He has hands-on cloud and DevOps expertise—authoring CI pipelines, Ansible automation, AWS processing using EC2/SQS/S3, and Airflow workflows—to reliably move and process large datasets. His background as a PhD-trained computational scientist informs pragmatic solutions that bridge numerical modelling, data engineering, and reproducible research practices. Notably, he has analyzed multi-terabyte datasets and translated academic insight into deployable systems, publishing and presenting his work internationally.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.Sc.), Honours First Class, Mathematical Physics, Bachelor of Science (B.Sc.), Honours First Class, Mathematical Physics at Simon Fraser University
Doctor of Philosophy (PhD), Applied Mathematics - Fluid Mechanics, Doctor of Philosophy (PhD), Applied Mathematics - Fluid Mechanics at University of Waterloo