Sharath Chandra Tadishetti

Sharath Tadishetti is an accomplished data engineering leader with over 13 years of experience. He has pioneered reusable big data frameworks for global enterprises, driving significant cost reductions. Sharath has led successful platform modernization and migration initiatives for industry leaders, showcasing deep expertise in architecting scalable data pipelines that power machine learning ecosystems. His technical toolkit includes advanced tools such as Apache Spark, Kafka, and AWS cloud services. Beyond his engineering contributions, Sharath actively supports the tech community. He has served as a judge for the Globee Technology Awards and multiple hackathons, including the Dubstech Datathon at the University of Washington and Robotech at Georgia Tech. He also contributes to academic and industry research as a peer reviewer for IEEE’s SoutheastCon 2024.