Summary
Christopher Johnson is a data analyst with eight years of experience turning messy, cross-functional data into actionable dashboards and automated ETL pipelines, currently shaping analytics at Viasat in the San Diego area. He blends hands-on skills in Python, SQL, Alteryx, Tableau, and AWS with practical machine learning experience (classification, time series, unsupervised learning) to solve supply chain, purchasing, and operations problems. Christopher has led migrations to GovCloud, helped establish CI/CD for ETL and Tableau, and reduced team technical debt by standardizing custom data sources—demonstrating both technical depth and operational rigor. His background includes building unified customer data flows at Shaw and creating metadata and matching logic to optimize storage and API performance at Appriss Insights. Comfortable presenting to executives or technical teams, he also brings leadership and project-management chops honed managing P&Ls and teams earlier in his career. He documents his work and thinking on GitHub (CBJohnson30) and a technical blog, signaling a commitment to continual learning and knowledge sharing.
8 years of coding experience
4 years of employment as a software developer
Diploma, Diploma at Niwot High School
Data Science Immersive, Data Science, Data Science Immersive, Data Science at General Assembly
Economics, Policy/Managerial Economics, Economics, Policy/Managerial Economics at Oregon State University