Summary
Chaz Carbis is a data engineer with five years of experience building scalable data platforms and analytics-driven applications, most recently at Optum/UnitedHealth Group. He designs and maintains ETL pipelines, models reliable datasets in Snowflake, and builds full-stack data-backed apps using Python and modern web tech, often independently delivering executive-facing solutions. Chaz has stewarded a large Github org (150+ repos), emphasizing code quality and security, and partners closely with analytics and AI teams to make model results reproducible and accessible to non-technical stakeholders. He favors cutting-edge frameworks like Streamlit and Domo.js to rapidly prototype production-ready tools that drive business decisions. With a background that includes managing operations and product growth in small businesses, he brings a pragmatic, customer-focused approach to reliability and scalability challenges.
5 years of coding experience
9 years of employment as a software developer
Certification Computer Software Engineering, Certification Computer Software Engineering at BloomTech