I built an end-to-end Databricks Data Lakehouse using the Medallion Architecture, with PySpark and Spark SQL pipelines for data ingestion, cleansing, validation, and transformation.
I designed Delta Tables with ACID transactions, schema enforcement, and partitioning, then used Unity Catalog and Databricks Workflows for governance and pipeline orchestration.
For Banking Complaint Analytics, I analyzed CFPB consumer complaints with Python and developed a six-page interactive Power BI dashboard with KPIs, complaint trends, and geographic analysis.
At Dcodetech Industrial Training Pvt. Ltd., I developed Python scripts to extract website data and processed the resulting datasets with Pandas and NumPy. I stored extracted data in CSV files and MySQL databases.
