Helping businesses build scalable cloud data platforms using Azure Data Factory, Databricks, PySpark, Power BI, ETL pipelines, and analytics solutions.
Enterprise-grade ETL orchestration and cloud-native data integration pipelines.
Azure Databricks
Distributed big data transformation using PySpark and Delta Lake architecture.
Power BI Analytics
Interactive dashboards and KPI reporting for business intelligence and analytics.
Sample Data Engineering Projects
Project 1-Retail Sales Analytics Pipeline
Built an Azure Data Factory pipeline to ingest sales data into Azure Data Lake. Used Databricks and PySpark for cleansing, transformation, and Power BI dashboards for business reporting.
Project 2-Healthcare Data Integration
Designed a cloud data workflow to process healthcare data using Azure Data Lake, Databricks, PySpark, and Power BI for accurate reporting and analytics.
Project 3-Metadata-Driven ETL Framework
Created reusable ADF pipelines using metadata configuration, Lookup, ForEach, and incremental load logic to reduce manual pipeline development effort.