Scott Epperly is a senior data analyst and architect with 20+ years driving data platform migrations, performance tuning, and ETL automation across enterprise and cloud environments. At Microsoft he led multinational teams to migrate data lakes to Delta Lake on Azure Synapse, publishing 250+ entities to Azure Data Explorer while cutting storage and streamlining processing. He has a proven track record of shaving processing cycles from hours to minutes, building diagnostic tools and authoring the first public Jupyter notebook troubleshooter for Synapse to help customers investigate query performance. Comfortable in both hands-on development (PySpark, Python, KQL, VB.NET, SSIS) and cross-team leadership, he mentors global support engineers and standardizes reporting schemas for long-term fiscal analysis. Early-career work shows a knack for pragmatic automation and clever engineering—such as image import and lightweight OCR pipelines for faxed documents—that repeatedly saved time and cost. Based in Anderson, Indiana, he combines deep SQL Server roots with modern cloud analytics to turn messy enterprise data into reliable, usable platforms.
8 years of coding experience
21 years of employment as a software developer
Information Technology, Psychology, Information Technology, Psychology at Indiana University Indianapolis
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