Calvin Kessler is a lead data engineer based in Chicago with a decade of experience architecting scalable data platforms across on-prem and cloud environments. He led the design of Databricks-driven pipelines at Epsilon, delivering high-volume 2nd/3rd party DMP audiences with automated deployment and CI/CD, slashing delivery time by roughly 3-4 days and boosting stability. Previously, he migrated data pipelines from on-prem to AWS using Kafka Connect and Databricks, and at Conversant he refined Spark jobs, built ETL tooling, and delivered end-to-end dashboards for monitoring. He combines deep hands-on data engineering with a strategic view on the intersection of GenAI and data platforms, aiming to build smarter infrastructure that unlocks scalable AI workloads. Outside work, he pursues music, Brazilian jiu-jitsu, haiku writing, and indoor plant care, bringing a curious and disciplined mindset to problem solving. Based in the Midwest with an economics background, he values measurable impact and cross-functional collaboration.
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