About
· Data Tenure: Over 25 years of experience in data architecture, optimization, governance, engineering, and reporting.
· Data Modeling & Architecture: Designing enterprise-agnostic, scalable data structures (Medallion models, Star Schemas) on AWS, Azure, and SQL Server platforms.
· Database Performance & Optimization: Developing highly optimized SQL queries and performance tuning through extensive SQL/index/database knowledge.
· High-Performance Pipeline Engineering: Building robust ETL/ELT pipelines with Azure Data Factory, SSIS, T-SQL, and Python to ingest and transform heterogeneous enterprise data.
· Data Quality & Governance Frameworks: Establishing automated data validation (DQI), lineage tracking, and row-level security across complex databases.
· Enterprise Reporting & Analytics: Developing high-throughput semantic layers and data marts supporting Power BI, SSRS, actionable KPIs, and executive BI tools.