Vinod C is a Staff Engineer based in the San Francisco Bay Area with 11 years of experience designing, building, and shipping large-scale big data systems. He specializes in architecting and implementing Apache Spark and Kafka-based frameworks, translating real-time data needs into performant, secure, and scalable solutions. At Cloudera and now Databricks he has led engineering teams, mentored peers on Spark, and driven architecture decisions across medium-to-large platforms. An active open source contributor, his Spark work includes bug fixes and important documentation and stability patches that improved SQL shell and Hive/Avro interoperability. He pairs hands-on coding with a knack for clear technical proposals and performance tuning, and has formal training in machine learning from Stanford.
11 years of coding experience
16 years of employment as a software developer
Physics, Physics at Sree Narayana College, Kollam
Master's degree Computer Science, Master's degree Computer Science at AICT
Apache Spark - A unified analytics engine for large-scale data processing
Role in this project:
Back-end Developer
Contributions:166 reviews, 4 commits, 90 PRs in 5 years 6 months
Contributions summary:Vinod primarily contributed to bug fixes and documentation updates within the Apache Spark project. Their work involved resolving SQL console startup issues, addressing documentation errors in the Spark 1.3 release, and correcting a Spark shell crash related to Scala 2.11. Additionally, the user added documentation for various APIs and provided fixes to support writing to a Hive table using the Avro schema URL.
Contributions:9 PRs, 537 pushes, 100 branches in 8 years 1 month
spark-mlapachebig-datasparkscala
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