Summary
Gordon Shotwell is a Principal Analytics Engineer with 11 years of experience building data platforms, ML infrastructure, and analytics tooling across fintech and product companies from Halifax. He blends a rare legal background with deep technical chops—leading petabyte-scale migrations, designing governed compute environments, and creating feature and model management systems that kept fraud scoring safe at scale. Gordon has a track record of making analytics accessible: he built dbt-based semantic layers, an agentic dbt chatbot to self-serve SQL, and Shiny for Python integrations that lower the barrier for data scientists and non-technical users alike. He’s as comfortable architecting secure, compliant platforms for sensitive data as he is prototyping LLM-based classifiers and evaluation suites to measure model quality. Colleagues rely on him to reduce technical debt in data science and to translate governance and organizational behavior into practical, production-ready tools.
11 years of coding experience
9 years of employment as a software developer
Doctor of Law - JD, Law, Doctor of Law - JD, Law at Dalhousie University - Schulich School of Law
Bachelor of Arts, Philosophy, Economics, Bachelor of Arts, Philosophy, Economics at McGill University
English, French