Christopher Adan is a Senior Consulting Data Engineer with 11 years of experience designing resilient data platforms and making AI-readiness practical for large organizations. He specializes in ingestion architecture, dimensional modeling, semantic layers, and developer tooling—skills he used to co-architect Samsung North America’s first central analytics platform and cut enterprise compute spend by ~60%. Christopher led Project Prism to integrate 20+ ad sources and create the company’s first canonical transaction taxonomy, turning fragmented definitions into a single source of truth for ~$900M in annual revenue. He blends hands-on engineering (Python, SQL, dbt, Snowflake, Airflow, BigQuery, S3) with governance-first thinking, treating lineage, data contracts, and testable semantics as mission-critical. Beyond platform wins, he’s scaled teams by building reusable libraries, CI/CD standards, and training programs so analytics can be both fast and trustworthy. Based in New Jersey with an MSc in quantitative methods, he’s as comfortable reconciling schemas as he is hardening pipelines for autonomous AI workflows.
11 years of coding experience
4 years of employment as a software developer
Bachelor's Degree, Sociology, Bachelor's Degree, Sociology at University of Washington
Calculus, Physics, Calculus, Physics at Bellevue College
Contributions:23 commits, 2 PRs, 74 pushes in 3 years 10 months
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Christopher Adan - Manager Data, Analytics & Insights