SBTB23:Stefan Krawczyk, Hamilton:Natively bringing SWE best practices to python data transformations

ai.bythebay.io Nov 2025, Oakland, full-stack AI conference At Stitch Fix, a data science team’s feature generation process was causing them iteration & operational frustrations in delivering time-series forecasts for the business. It wasn’t the scale of data that was the problem, it was their code. In this talk I’ll present Hamilton, a novel open source Python framework that solved their pain points by changing their working paradigm. Specifically, Hamilton enables a simpler and more productive approach for data science & data engineering teams to create, maintain, execute, and scale both the code (human) and computational sides of feature/data transforms. In this talk I’ll cover the motivation & backstory, what the Hamilton paradigm is and how it works, and how it naturally guides you into doing software best practices without really thinking about it. More details available here: https://www.scale.bythebay.io/post/stefan-krawczyk