Summary
Josh Sheldon is a data engineer with nine years of experience turning complex people and health datasets into actionable insights, metrics, and production pipelines. He blends hands-on engineering—from Azure Functions and Snowflake Iceberg tables to ADF cost optimizations—with practical analytics and reporting in Tableau, Power BI, and SSRS. At CarMax he led a Lakehouse ingestion pattern and an AI chatbot POC that helped define the company’s AI-ready data strategy while delivering significant operational savings. His background in medical economics and nonprofit leadership gives him uncommon strength in stakeholder-driven prioritization, mentorship, and translating business needs into validated data marts. Josh is equally comfortable building lightweight dashboards or deploying Python/R ML models, and he enjoys mentoring junior analysts to elevate team capability.
10 years of coding experience
3 years of employment as a software developer
B.S., Economics, B.S., Economics at The Ohio State University