◆ Design and develop dynamic and scalable pipelines and data flows on Azure platform, to gain insights out of structured and unstructured data.◆ Develop python/pyspark solution to handle large-scale data on Azure cloud and help in transitioning from legacy systems to cloud to help in process of digitizing and virtualizing the chemical manufacturing plants and facilities.

◆ Individual contributor to a back-end database system on Azure Cloud for Statistical analysis and prediction and Inventory management application for cold supply chain provider.◆ Designed and developed Azure Data Factory Ingestion pipelines to support the back-end data requirements. ◆ Implemented stored procedures in Azure SQL to implement business rules and handle transformations as part of the application.

◆ Designed and Built ETL data flows using SSIS and SQL Server procedures and supported production environment for oil and gas major.◆ Implemented and improved system performance by writing efficient stored procedures and TSQL queries for SQL Server.

◆ Built ETL data flows using SSIS, Data Warehouse snow-flake schema design in SQL Server to build a single source of reporting for the financial institution. ◆ Designed tables as per business requirements, implemented CDC (Change data capture) logic for the data warehouse tables.