Harsha Gangireddygari
About Harsha Gangireddygari
Harsha Gangireddygari is a Data Engineer with extensive experience in analytics and software engineering. He has worked at notable companies such as Facebook and UnitedHealth Group, and he currently holds a position at Notion.
Work at Notion
Harsha Gangireddygari currently serves as a Data Engineer at Notion, a role he has held since 2023. He works in the San Francisco Bay Area, contributing to data engineering projects that enhance the platform's capabilities. His experience in data analytics and engineering supports Notion's mission to improve productivity and collaboration for its users.
Previous Experience at Facebook
Harsha Gangireddygari worked at Facebook as a Data Engineer in the Analytics department from 2018 to 2023. During his five years in this role, he was involved in various data-driven projects within the San Francisco Bay Area. Prior to this position, he completed a Data Engineer internship at Facebook in 2017, where he gained foundational experience in analytics.
Experience at UnitedHealth Group
Before his tenure at Facebook, Harsha Gangireddygari was employed at UnitedHealth Group as a Software Engineer from 2013 to 2015. This two-year role took place in the Hyderabad Area, India, where he focused on software development and engineering solutions within the healthcare sector.
Role at CrossLink Analytics Solutions
Harsha Gangireddygari worked at CrossLink Analytics Solutions Pvt. Ltd. as a Solution Deployment Strategist from 2015 to 2016. In this one-year position in the Mumbai Area, India, he was responsible for deploying analytical solutions, contributing to the company's data strategy and client projects.
Education and Expertise
Harsha Gangireddygari holds a Master’s Degree in Computational Data Analytics from the Georgia Institute of Technology, which he completed from 2016 to 2017. He also earned a Bachelor of Technology (B.Tech.) in Chemical Engineering from the Indian Institute of Technology, Madras, from 2009 to 2013. His educational background provides a strong foundation for his work in data engineering and analytics.