Kishor Bachhav
Technical Consultant at The Apache Software Foundation
Pune, Maharashtra, India
Summary
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Rockstar🎓
Top SchoolKishor Bachhav is a Technical Consultant and seasoned distributed systems architect with 10+ years designing HTAP databases, low-latency streaming platforms, and hybrid on-premise-to-cloud data migration tools. He has led teams to build Kafka/Redpanda + Flink real-time pipelines for AI-driven quantitative analysis and implemented production-grade change data capture, WAN replication, and Kafka-like streaming queues. His background includes deep performance benchmarking and due-diligence of open-source distributed databases—work informed by long-standing contributions to Apache Geode and SnappyData where he implemented TPCH/TPCDS frameworks, WAN auto-discovery, and partition affinity features. Equally comfortable in cloud (AWS/Azure) and on-prem environments, he blends hands-on systems coding (Java, concurrency) with strategic architecture for low-latency, highly available storage and query engines. Based in Pune, India, he pairs startup founder experience with consulting at companies like Space and Time and Hyperion AI, bringing both product-minded engineering and a track record of shipping measurable performance improvements.
10 years of coding experience
19 years of employment as a software developer
BE Computer, BE Computer at Pune Institute of Computer TechnologyK. B. H. Vidyalaya Malegaon
English, Hindi, Marathi
Stackoverflow
181reputation
7kreached
5answers
6questions
Github Skills (48)
transaction10
predict10
stream10
spark9
analytics9
memory-database9
scale9
snappydata9
geode9
database8
accumulo8
sql8
apache8
apache-spark8
apache-flink7
Programming languages (3)
Github contributions (5)
spaceandtimelabs/ignite-extensions-public
Oct 2022 - Oct 2022
Apache Ignite Extensions
Contributions:1 push in 1 day
apache-igniteapachebig-dataigniteextensions
TIBCOSoftware/snappydata
Jan 2016 - Feb 2018
Project SnappyData - memory optimized analytics database, based on Apache Spark™ and Apache Geode™. Stream, Transact, Analyze, Predict in one cluster
Contributions:10 PRs, 66 pushes, 7 branches in 2 years
memorypredictstreammemory-databasetransact
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