Summary
Chris Moran is a Solution Engineer and data practitioner with 10 years of experience blending startup agility and Big 4 rigor to design and deliver end-to-end cloud data solutions. He has led data warehouse builds, migrations from legacy systems, and production ETL pipelines across healthcare, finance, and SaaS companies, bringing strong Python, SQL and cloud engineering skills to every phase from POC to optimization. At KPMG he served as a technical SME in Lighthouse projects, advising on modern data architecture and emerging best practices, and now applies that consultative lens at Snowflake. Chris’s background in audit and accounting gives him a rare ability to translate technical designs into auditable, risk-aware implementations that stakeholders trust. He enjoys spotting non-obvious improvement opportunities and framing solutions from multiple angles, which helps teams move from messy data to reliable business insight. Based in Denver, he combines analytical curiosity with practical delivery to turn complex data problems into scalable, maintainable systems.
10 years of coding experience
7 years of employment as a software developer
Data Science Immersive Data Science, Data Science Immersive Data Science at Galvanize Inc
University of Missouri