Description :

- Gather and analyze business requirements, translating them into structured and actionable data standards in collaboration with cross-functional teams.
- Design, develop, and optimize ETL processes to extract, transform, and load data from multiple sources including SQL Server, JSON, and PostgreSQL systems.
- Build and maintain scalable data pipelines and workflows using Azure Data Factory (ADF) to support data integration and analytics.
- Perform ETL testing, data validation, and quality assurance using SQL and automated Python scripts to ensure data integrity and reliability.
- Develop automated workflows and orchestrations using Azure Data Factory and Apache Airflow for scheduling and monitoring data pipelines.




- Leverage Python scripts to integrate with external APIs, fetch data, and store it into databases for downstream analytics.
- Implement version control and CI/CD best practices using GitHub for Python scripts and ETL processes.
- Develop and deploy Power BI semantic models, dashboards, and paginated reports to provide meaningful business insights.
- Publish reports to Power BI Service using deployment pipelines and configure on-premise gateways for automated data refresh.
- Perform data modeling, DAX development, and report optimization for performance and scalability.

📌 Azure Data Engineer | ADF | Power BI | Python | SQL (Hyderabad)
🏢 Religent Systems
📍 Hyderabad