Summary
Charles Umemoto is an Enterprise Data Architect based in Quebec with over a decade of hands-on experience in data governance, quality, and master data management, and eight years focused on architecting BI and integration solutions. He combines a strong Python background and ML/Deep Learning experience with practical data engineering—migrating legacy scripts to modern pipelines, establishing team coding standards, and building scalable ETL and data models. Charles has led cross-functional projects from Tableau and Qlik reporting rollouts to enterprise-wide Cinchy-driven integrations, and he trains teams to adopt better software and data practices. He also experiments at the intersection of art and code, producing generative NFTs on Tezos, which reflects a curiosity for creative applications of technology. Pragmatic and process-minded, he excels at turning messy, distributed data into auditable, governed assets that drive business decisions.
8 years of coding experience
7 years of employment as a software developer
HEC Montréal
English, French, Chinese