I’m a Manager/Data Architect with over 17 years of hands-on experience in building enterprise-grade data platforms, cloud data warehouses, and analytical solutions across multiple industries, including finance, insurance, healthcare, automotive, manufacturing, and supply chain.

I specialize in designing end-to-end data solutions using a wide array of technologies such as:

Azure: Azure SQL Database, Azure Synapse (formerly SQL Data Warehouse), Azure Data Factory, Azure Databricks, Azure Functions

AWS: Redshift, S3, Glue, Athena

Big Data & Spark: Spark SQL, DataFrames, Driver & Worker Node architecture, and Databricks Notebooks

Data Modeling: ERWIN (12.x/14.x), ER/Studio Data Architect (20.0), Oracle (10g/9i/8i), and Netezza (4.2)

I’ve led and contributed to large-scale data warehouse implementations and cloud migrations, with a deep focus on data modeling, ETL pipeline design, performance tuning, and scalable architecture. My solutions have supported critical analytics and reporting functions for major enterprises in the insurance, investment management, healthcare, and manufacturing sectors.

Through my courses, I aim to bridge the gap between data architecture and real-world business intelligence by breaking down complex concepts into practical, step-by-step lessons. Whether you're aspiring to be a cloud data engineer, a BI architect, or a data science practitioner, I’m here to help you understand not just the “how,” but the “why” behind the tools and techniques.

Let’s build smarter, scalable, and future-ready data solutions.