Summary
Chad Upjohn is a Senior Data Engineer with 13 years of experience building reliable, repeatable data pipelines and automation across cloud-native architectures. He has a track record of cutting runtimes and costs—delivering an 80% speedup on Snowflake transformations, a 20% S3 storage cost reduction, and saving hundreds of engineering hours via smarter orchestration patterns. Comfortable from Python Lambdas and Airflow to Databricks, Snowflake, Terraform and Kubernetes, he blends pragmatic engineering with tooling improvements like repo templating, CI/CD standards, and custom operator/plugins that simplify deployments. At Pinnacle and prior roles he’s prototyped RAG/LLM chatbots and created deploy-focused tooling (a Poetry plugin for AWS SAM) that reveal a bias toward operational simplicity. An MBA-backed engineer based in Nashville, he pairs product sensibility with deep implementation skills and a consistent habit of turning messy integrations into repeatable, testable systems.
13 years of coding experience
15 years of employment as a software developer
BS Computer Engineering, BS Computer Engineering at Clemson University
MBA Marketing, MBA Marketing at Vanderbilt University - Owen Graduate School of Management
WU (Vienna University of Economics and Business)
German, Italian