Summary
Chris Mccormick is a consultant and cloud-savvy software engineer with 11 years of experience building data systems that deliver actionable insights quickly and cost-effectively. He bridges engineering and analytics—designing pipelines with DBT/Dataform, building Looker dashboards, and implementing GraphQL/TypeScript APIs—while keeping a sharp focus on infrastructure costs and availability. Chris has led end-to-end data platform migrations and production deployments on Google Cloud and Azure, replacing costly legacy workflows with lightweight, API-driven pipelines and CI/CD. He thrives in small teams and solo-data roles, automating reporting and QA to turn slow manual processes into reliable, fast insights for leadership. A self-described "distracted dabbler," he also pursues deployment pipelines, VR tech, and usability improvements, bringing a pragmatic curiosity that surfaces small but high-leverage product enhancements.
11 years of coding experience
10 years of employment as a software developer
MS Finance, MS Finance at University of Denver - Daniels College of Business
Bachelor of Science (BS) Mathematics and Computer Science, Bachelor of Science (BS) Mathematics and Computer Science at Colorado School of Mines
English