About

Prakhar Sharma is a highly experienced Senior Data Engineer with over 8 years of experience in the field. Currently, he is working at Morgan Stanley in the same capacity, where he is responsible for designing and implementing data pipelines and ETL processes to support the company's data-driven initiatives. He has a deep understanding of big data technologies and tools such as Spark, Scala, MySQL, MSSQL, NoSQL, and MongoDB, which he leverages to build robust and scalable data solutions. Prior to joining Morgan Stanley, Prakhar worked as a Data Engineering Consultant and Analyst at Accenture, where he gained valuable experience in strategy and consulting. He was also involved in a project for HPE Smart IB PointNext, where he developed a Scala-based ETL platform using Apache Spark to extract data from different types of sources, such as MSSQL and MySQL. He also used Apache Oozie as an orchestration tool to monitor, schedule, and debug data pipelines. The processed data was then ingested into a NoSQL database, MongoDB, for reporting purposes. Prakhar holds a Bachelor of Technology degree in Electronics Engineering from NMIMS, where he graduated in 2014. He also attended Kendriya Vidyalaya from 1999 to 2010. His education and experience have equipped him with a strong foundation in data engineering and other relevant skills. In summary, Prakhar Sharma is a skilled Senior Data Engineer with a wealth of experience in data engineering, ETL, Spark, Big Data, Scala, MySQL, MSSQL, NoSQL, and MongoDB. He has a proven track record of designing and implementing data solutions that meet business requirements and drive growth.