Raghvendra Yadav is a systems-focused software engineer with 6+ years’ experience building high-throughput, low-latency data platforms across edge, cloud, and hybrid storage environments. Currently an Apache Pinot committer and software engineer at StarTree, he designs real-time analytics and OLAP systems that power user-facing insights at scale. His background includes founding engineering roles where he built Paxos-based consensus layers, write-ahead logs, and high-performance storage engines for distributed log stores, plus production hybrid-storage work enabling bottomless storage and backup/restore. Comfortable translating complex requirements into scalable, robust architectures, he has repeatedly delivered linear throughput scaling and constant-latency guarantees. Based in California, he brings hands-on expertise in microservices, object/hybrid storage, and cloud-native data pipelines—and a practical knack for building distributed testing frameworks that expose real-world failure modes.
7 years of coding experience
12 years of employment as a software developer
Btech, computer science, Btech, computer science at Motilal Nehru National Institute Of Technology
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