Michael Carvel

Lead an 8-person data engineering team and enterprise data platform supporting 500+ properties and 600+ users, driving strategy, architecture, ML enablement, and $2.5M in annual platform spend. Delivered a metadata-driven platform that cut source onboarding by 85%, reduced engineering effort by 70%, accelerated ML development 6x, and improved deployment quality and release velocity.

Designed the core Spark/Delta framework for a configuration-driven ingestion platform, establishing the standard for new integrations while mentoring 4 engineers and defining engineering best practices. Re-architected 40 critical pipelines for incremental and CDC processing, cutting runtimes 55% and eliminating 3 hours of nightly batch-window pressure.

Built and operated cloud data pipelines integrating 20 source systems into a centralized Snowflake warehouse supporting 15 downstream applications, developing Spark/SQL transformations that standardized fragmented property data into portfolio-wide metrics. Partnered with business teams to define data mappings and business rules, embedding automated validation to improve data quality.

Led a team of 3 data professionals and set enterprise architecture standards across ingestion, modeling, governance, and SAP data, including SAP S/4HANA migration readiness across 180 pipelines and reports. Standardized POS and SAP data into governed enterprise models, increasing report adoption 150% YoY, and improving infrastructure productivity 40% while reducing processing errors 22%.

Led SAP ECC FI/CO, SD, MM, and PP integration into the enterprise warehouse, replacing manual extracts with governed, automated pipelines and conformed models that unified financial, supply chain, and manufacturing reporting while saving 20 hours per month-end close.

Built an early metadata-driven ingestion framework in Python that generated Informatica mappings and automated SAP source onboarding. Automated purchase price variance analysis and continuous cross-source data validation while introducing Git-based version control and standardized processes to improve data quality and team productivity.

Partnered with Sales to develop analytics-driven reporting that identified account growth opportunities and informed strategic account development. Automated recurring reporting through VBA across Excel and Access, delivering 5 daily, 15 weekly, and 10 monthly dashboards/reports plus ad hoc analysis.

Bachelor of Science in Actuarial Science from Northern Illinois University, completed in 2013.