Over 5 years of professional work experience in design, development and improvement of Data Engineering, ETL framework and Business Intelligence solutions. Architected, built and released end-to-end data transformation pipelines and a strong understanding and hands-on skills with Azure Data Factory, Azure Synapse Analytics,Databricks, Spark on Azure, Snowflake Cloud Data Warehouse ,SSIS, Informatica, Microsoft SSRS, Data visualization tool Microsoft Power BI, ,Tableau Oracle 11G, MS SQL Server 2018. Working experience in Modern NoSQL technologies like Spark SQL on Azure,Programming languages like Python, Scala, Databricks. Exposure to different Big Data ecosystem and Data Lake infrastructures like Azure Data Lake Storage. Experience in design and development of Distributed Computing and Scaling the Infrastructure for handling larger datasets. Solid experience in building business intelligence solutions (data warehouse, ETL, Reports) and ability to understand instrumentation and devise technical solutions. Heavily involved in the performance tuning of long running ETL jobs in Prod. Shifted the heavy lifting of data processing the ETL tool to the database-driven code. Also involved in the design and implementation of modern integration model to being timestamp-driven. Developed automated framework for executing test cases to validate the data load and ETL mappings to support test driven development. Extensive experience working on cloud-based solutions with business intelligence and reporting solutions as focus area. Proficient in writing stored procs, materialized views, triggers, views, dynamic programming. Proven project management experience managing multiple concurrent software development initiatives. Expert in translating business goals and end user needs into product strategy.