Maintained Data Pipelines using Azure Data factory to automate data ingestion and processing. Leverage Azure Databricks for data processing, Streamlining workflows and enhancing data quality. Reduced data processing time by 40% and improved data accuracy by 50%. Analyze and optimized SQL database to query and manage Tables, stored in Azure data lake.

Monitored and fixed the bugs in Data pipelines. Implemented the schema changes in Data Iake tables. Worked on JIRA tickets and resolved 400+ queries to ensure smooth operations and client satisfaction. Resolved technical issues for 50+ end-users monthly by diagnosing their issue related to Azure, reducing downtime by 30% and increasing user satisfaction scores by 75%.Managed and executed deployment activities using Azure DevOps through CI/CD pipelines, ensuring efficient and automated deployment processes to deploy tho code into Production.

Learnt Azure cloud and support Data engineers in their task and activities. Controlled User/Groups Access using Azure Active directory, managed access to all tables stored in DataIake. Monitored Azure Pipelines in Azure Cloud, contributing to efficient operations and enhanced team productivity by 70%.