Summary
Cody Crunkilton is a data engineer with 8 years of experience building and optimizing data infrastructure for machine learning and analytics teams, currently based in San Francisco. He has led end-to-end ML and data warehouse initiatives—designing production ML pipelines, templating preprocessing and retraining workflows, and managing multi-terabyte Snowflake warehouses—across startups and high-impact organizations. Cody has delivered measurable business impact, from integrating ML into automated purchasing systems that boosted lifetime value per book to architecting attribution and billing pipelines on terabytes of data. He brings deep hands-on skills in Python, SQL, Spark/Scala, dbt, Terraform, and AWS, and has experience scaling annotation and retraining pipelines for NLP and generative AI. A former political data analyst, he also knows how to translate complex analytics into stakeholder-ready experiments and fundraising strategies, a background that sharpens his product-minded approach to engineering.
8 years of coding experience
7 years of employment as a software developer
Master of Arts - MA, Political Science, Master of Arts - MA, Political Science at University of Wisconsin-Madison
Bachelor of Arts - BA, Political Science; Spanish, Bachelor of Arts - BA, Political Science; Spanish at University of Minnesota