This project builds an End-to-End Azure Data Engineering Pipeline, performing ETL and Analytics Reporting on the AdventureWorks2017LT Database.

End-to-end Azure Data Engineering pipeline using ADF, Databricks (PySpark), ADLS Gen2, Azure SQL, and Power BI for COVID-19 analytics

GitOps-driven Azure Data Factory pipeline that ingests multi-source data (GitHub + ADLS) into ADLS Bronze using dynamic, parameterized ETL workflows.

End-to-end real-time data pipeline using Kafka, Spark, Delta Lake, DuckDB, and Power BI. Simulates clickstream analytics with batch + streaming workflows for modern data engineering.

Power BI dashboard analyzing client credit default patterns

Designed and implemented an end-to-end Azure Data Engineering platform using Azure Data Factory, ADLS Gen2, Databricks, Synapse Analytics, and Power BI. Built metadata-driven pipelines and Medallion Architecture (Bronze, Silver, Gold) to ingest, transform, and serve analytics-ready data.

This project builds an End-to-End Azure Data Engineering Pipeline, performing ETL and Analytics Reporting on the AdventureWorks2017LT Database.

Designed a production-grade Azure Data Engineering project centered on Azure Data Factory. Built dynamic, metadata-driven pipelines to ingest data from on-prem systems, REST APIs, and Azure SQL into ADLS Gen2 using Medallion Architecture, incremental loading, and enterprise-scale orchestration patterns.

🔄 Build scalable ETL pipelines on Azure using PySpark, transforming raw data into analytics-ready datasets with a focus on Medallion Architecture.

This project implements an end-to-end Azure Data Engineering pipeline using Spotify streaming data, with a primary focus on duplicate data handling and data quality optimization

End-to-end Azure Databricks retail data engineering project using Medallion Architecture (Bronze, Silver, Gold). Implements Auto Loader, Unity Catalog, Delta Lake, SCD Type 1 & 2 dimensions, and Fact Orders for analytics-ready star schema modeling.

End-to-End Azure Data Engineering Project: Tokyo Olympics 2021 Analysis A complete data pipeline built on Microsoft Azure to ingest, process, and analyze Olympic data.

End-to-end Azure Data Engineering project using ADF for incremental ingestion, Databricks (DLT) for Medallion Architecture, and Delta Lake for CDC (SCD Type 1). Managed via Databricks Asset Bundles (DABs) for professional CI/CD. Focuses on real-time streaming, scalability, and Star Schema modeling.

📊 Analyze sales data and forecast future revenue using Python. Gain insights into performance metrics and optimize your business strategies effectively.