At Accenture, I design and optimize ETL/ELT pipelines using Python, SQL, PySpark, and Power BI. My work includes validation and monitoring that support 99.9%+ data accuracy, alongside cloud cost optimization.
On Bazar Health, I designed and maintained healthcare ETL pipelines using ADF, ADLS, Azure Synapse, and Spark. They bring clinic, pharmacy, lab, and app data into a centralized warehouse, supporting 99.9%+ accuracy and minute-level BI performance.
For the E-Commerce analytics Dashboard-P&G project, I integrated sales, inventory, and promotions data from SQL, SharePoint, Excel, and CSV. I designed a star-schema model and DAX measures, then built interactive Power BI dashboards for analyzing performance across channels, categories, brands, and time.
On E-Commerce Customer Behavior Analysis, I cleaned SQL Server data with Python and Power Query, then analyzed purchasing patterns and built Power BI dashboards tracking sales, orders, average order value, repeat purchases, and customer segments.
