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