Designed and developed end-to-end data pipelines using Azure Data Factory, ensuring seamless data integration and transformation across multiple sources.Implemented scalable data storage solutions with Azure Data Lake, Azure Blob Storage, and Azure Synapse Analytics for efficient data processing and analysis.Optimized SQL queries and stored procedures for high-performance data retrieval, reducing query time and improving overall data accessibility.Built and managed ETL processes using Python and Azure Databricks, automating data workflows and enhancing data quality.Configured and monitored data ingestion processes using Azure Event Hubs and Stream Analytics for real-time data processing.Developed custom scripts in Python to automate data validation, cleansing, and transformation tasks, improving data accuracy.Collaborated with cross-functional teams to define data requirements and create data models that align with business needs.

 Understood and analyzed the client requirements  Worked on creating API, Dashboard and reports. Written complex queries, Stored procedure, function, dynamic query and DB object that addresses the requirement to develop or enhance application. Performance optimization of SQL query and procedure. Deployment of various utilities in production environment. Co ordinate with AMS team as and when they require any help. Co ordinate with junior members of the team and allocate the task as per requirement