I'm a IT Engineer with 4+ years of experience delivering scalable ETL pipelines, data validation frameworks, and BI solutions on the Microsoft Azure stack.
I’ve consistently performed core data engineering work—designing ingestion pipelines, transforming large datasets, and validating reporting layers for enterprise projects.
- Build and optimize data pipelines with Azure Data Factory, Synapse, and Fabric Lakehouse
- Implement data quality checks, schema validations, and ETL testing
- Validate and visualize insights with Power BI, Tabular Models, and SQL
- Automate QA processes with tools like Cypress, Postman, and GitHub Actions
- Enable data traceability and CI/CD integrations in Agile teams
Languages: SQL, Python (basic), Spark SQL
Cloud & Tools: Azure (ADF, Synapse, Fabric, ADLS), Power BI, GitHub, Azure DevOps
Testing Focus: ETL Testing, Report Validation, API Testing, Data Quality
Concepts: Data Warehousing, CI/CD, Lakehouse Architecture, Agile-Scrum
Building data pipelines that deliver trust, insight, and impact.