Summary
Darin Baumgartel is a Staff Data Engineer with 12 years of experience applying physics-grade rigor to large-scale data systems, currently driving data infrastructure at CookUnity after leading quantum data engineering at IBM. He combines deep expertise in Python, SQL, schema design, data warehousing, and the Hadoop ecosystem with hands-on experience building ETL pipelines into Snowflake and deploying BI tooling to accelerate analytics. Darin has led cross-functional teams at startups and enterprises—shaping analytics platforms, scalable pipelines, and production ML workflows—and has managed both engineering and data-science orgs to operationalize insights. His early career processing petabytes of CMS detector data at CERN honed his skills in high-performance data workflows, statistical inference, and machine-learning optimization under experimental constraints. Based in Somerville, MA, he’s equally comfortable mentoring engineers, designing star schemas for multi-TB datasets, and shipping reliable, fault-tolerant pipelines for business impact.
12 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at Northeastern University
Bachelor of Arts (B.A.) Physics and Economics, Bachelor of Arts (B.A.) Physics and Economics at Rutgers University