Haripriya Polu

Pipeline Monitoring and Optimization: Monitored and troubleshooted Streamset and Azure pipelines, optimized ETL operations using Azure Data Factory, and ensured accurate, complete, and timely data delivery while sending daily performance reports.

Cloud Data Transition and Integration: Led the transition of data from legacy systems to modern cloud platforms, integrated Azure Data Lake Store with various Azure services, and implemented efficient data processing workflows on Azure Databricks for real-time and batch feeds.

DDL Management and Script Accuracy: Converted and executed DDLs from SSMS to Snowflake environments, maintained Runbooks, and ensured accuracy in Snowflake script changes while overseeing Power BI reports inventory.

Testing and Quality Assurance: Developed requirement-driven test cases in QTest and performed SIT testing on stored procedures to validate functionality and ensure data integrity.

End-to-End Data Operations: Combined monitoring, optimization, and maintenance of data pipelines, Databricks Notebooks, and analytics workflows to support seamless data processing, reporting, and system reliability.

Support and Maintenance for Control-M and .NET : Provided dedicated support for scheduling and automation using Control-M, while also troubleshooting and resolving .NET-related issues to ensure smooth project execution and system functionality.