Summary
Calvin Kessler is a Lead Data Engineer with 8 years of experience building high-throughput, cost-efficient data platforms for advertising at Epsilon, specializing in Spark, Databricks, and cloud migrations. He’s delivered measurable impact—cutting audience delivery times from days to hours and scaling pipelines to serve trillions of user attributes—while embedding CI/CD and observability directly into data workflows. Calvin combines deep engineering craft (custom Spark UDFs, Kafka Connect, Airflow DAG generation) with product-minded automation, having prototyped AI-assisted support via AWS Bedrock to speed incident triage. He’s comfortable bridging on-prem and cloud-native architectures, having led EMR and Databricks migrations that dramatically reduced activation latency. Outside of pipelines, he brings analytical rigor from academic research and a creative side as a musician, Brazilian jiu-jitsu practitioner, and part-time haiku writer—traits that surface in pragmatic, elegant engineering solutions.
8 years of coding experience
2 years of employment as a software developer
College of DuPage
Bachelor of Arts (B.A.) Economics, Bachelor of Arts (B.A.) Economics at University of Illinois Urbana-Champaign
Metea Valley High School