Venu Reddy is a Staff Software Engineer based in Bengaluru with over 8 years of experience building distributed systems, SD-WAN/SDDC solutions, and cloud-native networking platforms. He has deep hands-on expertise in networking protocols (BGP, OSPF, MPLS, L2/L3 VPNs), OpenVSwitch/OpenStack, and has architected controller-side SDN applications using OpenDaylight. As a contributor to high-profile Apache projects like CarbonData and Hive, he’s improved write/query performance, geospatial indexing, and metastore partitioning—work that directly impacts large-scale Big Data performance. Currently at Cloudera and contributing to the OpenHarmony OS camera framework, he blends systems-level networking knowledge with backend database optimizations. Colleagues describe him as an engineer who prefers solving hard infrastructure bottlenecks and routinely finds non-obvious optimizations in memory and index management.
8 years of coding experience
17 years of employment as a software developer
B.Tech, B.Tech in Electronics, B.Tech, B.Tech in Electronics at Sri Venkateswara University
Contributions:124 reviews, 13 commits, 25 PRs in 1 year 3 months
Contributions summary:Venu primarily contributed to optimizing the Apache CarbonData data store's write and query performance. They addressed memory allocation issues in the write step by optimizing memory block management and resolved performance bottlenecks within the polygon expression processing by implementing block and blocklet pruning. Furthermore, the user enhanced the geospatial support by introducing custom index handling and improving the efficiency of the in_polygon UDF. They also addressed issues related to secondary index management and partition table handling.
Contributions:26 reviews, 2 commits, 9 PRs in 13 days
Contributions summary:Venu primarily contributed to the Apache Hive project by fixing bugs related to direct SQL processing and partition management within the metastore. They improved performance through direct SQL implementation for adding partitions and addressed issues with SQL Server compatibility. Additionally, the user worked on ensuring HS2 accessibility and resolving issues related to SSL connections in the JDBC driver, demonstrating expertise in database interaction and system optimization.
flinksqlapachebig-dataspark
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