Jigar Pandit
About Jigar Pandit
Jigar Pandit is the Manager of Data Engineering, GCP at General Mills in Mumbai Suburban, Maharashtra, India, with extensive experience in data engineering and cloud platforms.
Current Role at General Mills
Jigar Pandit currently serves as Manager - Data Engineering, GCP at General Mills in Mumbai Suburban, Maharashtra, India. Since June 2018, he has been leading a team of data architects and engineers. His responsibilities include overseeing data governance and providing operational support for the Enterprise Data Warehouse on the Google Cloud Platform. Jigar is also accountable for defining data integration strategy and maintaining data quality standards across the organization.
Previous Roles at General Mills
Before his current position, Jigar Pandit held several roles at General Mills. He worked as Lead Data Scientist from 2015 to 2018 in the Mumbai Area, India. Prior to that, he served as Associate Manager - Application Development from 2010 to 2015. In these roles, he contributed to various strategic initiatives and played a critical part in the company's technology transformation journey.
Experience at Capgemini and Nucsoft
Jigar Pandit also has significant experience working with other notable companies. He worked at Capgemini as a Manager from 2005 to 2010. Before joining Capgemini, he was a Senior Project Leader at Nucsoft from 2000 to 2005. These roles helped him gain a comprehensive understanding of project management and data solutions in diverse corporate environments.
Educational Background
Jigar Pandit holds a Master of Business Administration (MBA) in Finance, General from the Welingkar Institute of Management, where he studied from 2012 to 2014. Prior to that, he achieved a Bachelor of Engineering (B.E.) in Mechanical from the University of Mumbai, completing his degree from 1994 to 1998. His educational background has provided him with a strong foundation in both technical and financial aspects of business.
Notable Projects and Initiatives
One of Jigar Pandit's notable achievements at General Mills includes leading the migration of an on-prem Hadoop data lake to the Google Enterprise Data Warehouse. This project significantly enhanced the company's data strategy. His extensive experience in data engineering and cloud platforms, particularly with the Google Cloud Platform, has been instrumental in driving these advancements.