Venugopal Menda
About Venugopal Menda
Venugopal Menda is a Manager of Technical Support at Dremio, where he has worked since 2023. He has extensive experience in distributed systems and big data technologies, with previous roles at MapR Technologies and HCL Infosystems.
Current Role at Dremio
Venugopal Menda serves as the Manager of Technical Support at Dremio, a role he has held since 2023. He operates in a hybrid work environment based in Hyderabad, Telangana, India. In this position, he is responsible for overseeing technical support operations, ensuring customer satisfaction, and managing support teams.
Previous Experience at Dremio
Before his current role, Venugopal worked at Dremio as a Senior Product Support Engineer from 2018 to 2023. During this five-year tenure, he provided technical assistance and support for Dremio's products, contributing to customer success and product reliability.
Career at MapR Technologies
Venugopal Menda held multiple positions at MapR Technologies. He began as a Distributed Systems Engineer from 2015 to 2016, followed by a role as a Technical Account Manager from 2017 to 2018. His brief tenure as a Senior Distributed Systems Engineer in 2016 further solidified his expertise in distributed systems.
Education and Technical Skills
Venugopal earned a Bachelor of Technology (B.Tech.) in Electrical, Electronics and Communications Engineering from Acharya Nagarjuna University, completing his studies from 2004 to 2008. He possesses expertise in managing distributed file systems and big data technologies, including MapR-FS, HDFS, and MapReduce. His skills extend to cloud platforms like AWS, Azure, and GCP, as well as containerization technologies such as Docker and Kubernetes.
Background in IT and Data Technologies
Venugopal has a diverse background in IT, having worked at HCL Infosystems Ltd and EESoft Technologies. His experience includes roles as a Storage Administrator and Hadoop Administrator, where he developed skills in SQL and various database technologies, including Hbase and MapR-DB. He is also experienced in data processing frameworks like SPARK and YARN.