An End-to-End ETL data pipeline that leverages pyspark parallel processing to process about 25 million rows of data coming from a SaaS application using Apache Airflow as an orchestration tool and various data warehouse technologies and finally using Apache Superset to connect to DWH for generating BI dashboards for weekly reports

This is a repo to keep track of all my projects related to data engineering

🏗️ High-impact Power BI projects showcasing advanced ETL processes and complex DAX modeling. Focused on building scalable, high-performance dashboards from fragmented datasets. Covers Star Schema, Time Intelligence, and Geospatial Analytics.

Databricks SQL in Action — End-to-end medallion architecture lab using Unity Catalog, Volumes, Streaming Tables, Materialized Views, AI SQL functions, dashboards, lineage, and workflow orchestration.