About

Poornima Nag is a Senior Data Engineer at McKinsey & Company with over 8 years of experience in the data engineering field. She is a highly skilled Big Data Developer with expertise in Apache Spark, Apache Hive, MySQL, Sqoop, Presto, and the amalgamation of big data-ETL. Poornima has an eclectic mix of domain knowledge, with commendable experience in financial services and telecommunications. Poornima's educational background in Electrical, Electronics, and Communications Engineering, with a minor in Management studies, has given her a unique perspective on data engineering. She has worked on live projects in ISRO, spearheaded the design of one of the critical frameworks for her financial client, and automated and optimized multiple data pipelines for her communication client. Poornima is well-versed in agile and scrum methodologies and always looks for new and exciting arenas in the data and analytics field. She has worked as a Data Engineer at McKinsey and a Data Engineer – Technical Lead at Deloitte, where she played a crucial role in creating big data solutions to ensure that systems and payment models in PayPal are designed to make customers feel safe. Poornima's technical skills include data engineering, Spark, Big Data, Apache Hive, MySQL, ETL, Senior Software Engineer, and Scala. She is a highly motivated individual who is always looking for new challenges and opportunities to learn and grow. Poornima is an asset to any team she works with and is committed to delivering high-quality results.