At Accordion, I lead enterprise data warehousing, BI reporting, and governance initiatives that contribute to an estimated $2.3M run-rate EBITDA uplift, 3,600–7,200 annual hours saved, and support for new store expansions.
I design fact and dimension models across 30+ source systems and build PySpark transformation pipelines. I also led a migration from a legacy lakehouse to Microsoft Fabric, reducing technical debt and enabling self-service analytics.
I build Power BI lineage dashboards, semantic models, and reports while establishing governance through Microsoft Purview and a 150+ asset business glossary. I partner with client teams to define business logic, KPIs, metric matrices, and executive dashboards with dynamic row-level security.
I also bring hands-on AI and data engineering project experience across GCP, BigQuery, Vertex AI, Databricks, and Azure Data Factory. I've built churn-modeling workflows and RAG support copilots that ground natural-language answers in structured data and past tickets.
