I've delivered governed Azure data pipelines for Gore Mutual Insurance, improving financial, regulatory, and risk reporting while reducing pipeline runtime by 67%, storage usage by 97%, and annual platform costs by $500K.
At Conch Technologies, I architect end-to-end Azure Data Factory and Databricks ingestion pipelines from on-premises SQL Server to ADLS, using PySpark profiling, validation, Medallion architecture, Unity Catalog, and automated Logic Apps and Functions workflows. I also deliver curated Power BI datasets and establish Git-based Azure DevOps CI/CD standards across Dev, UAT, and Prod.
My earlier work spans ERP and warehouse integrations, EDI/SFTP ingestion, IBM Cognos reporting, SQL optimization, Java services, and production support. I focus on reliable, auditable data products that protect sensitive data and make reporting more trustworthy.
