Summary
Michael Reband is a Database Engineer and data architect with over a decade of experience building scalable analytics platforms and ETL ecosystems for healthcare and research organizations. He combines deep SQL expertise with Python, C#, and cloud-native tooling (Snowflake, AWS, Azure) to design multi-tenant BI platforms, interoperable clinical data backends (HL7 FHIR), and production-ready machine learning pipelines. Michael has led end-to-end projects from ingest and episodic grouping of clinical events to ontology creation and automated code mapping between ICD standards, emphasizing data quality, governance, and HIPAA-compliant handling of large healthcare datasets. He thrives in early-stage startups and established enterprises alike, translating ambiguous domain requirements into auditable, performant systems that inform clinical and operational decisions. Based in Chicago, he pairs pragmatic engineering with a background in economics, which drives his focus on measurable business outcomes.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Arts (BA) Economics, Bachelor of Arts (BA) Economics at Western Illinois University