About

Chintan is a Senior Data Engineer at Morgan Stanley with over 6 years of experience in the field of Data Engineering. He is passionate about working in the Big Data Ecosystem and exploring the deep aspects of available frameworks and tools on cloud and on-premise environments to deliver optimal solutions. In his current role at Morgan Stanley, Chintan is responsible for designing and developing data pipelines, managing data warehouses, and implementing ETL processes. He is an expert in AWS, Spark, Big Data, SQL, ML, Python, Hadoop, and Apache Hive, among other technologies. He has also worked with Azure, NLP, Scikit, and Data Warehouse. Prior to joining Morgan Stanley, Chintan worked as a Data Engineer at Fractal Analytics, where he was part of a team of 8 data engineers who designed, developed, and maintained the central data platform for Covid-19 India Data Platform. He also represented Fractal and led technical and architectural discussions with multiple organizations to understand their data offerings and set up and design data pipelines. Chintan has also worked at Infosys as a Data Engineer. He holds an Engineer’s Degree in Mechanical Engineering from Swami Keshwanand Institute of Technology. Chintan is a skilled professional with a proven track record of solving end-to-end business problems around big data. He has suggested and implemented solutions that helped organizations save 100+ efforts-hour/month and achieve 100% data quality, resulting in smooth weekly and monthly releases. He is also experienced in DevOps and Software Engineering. Overall, Chintan is a dedicated and experienced Senior Data Engineer with a diverse skill set and a passion for delivering optimal solutions using the latest technologies.