Ashok Kumar is a Principal Member of Technical Staff based in Bengaluru with 10 years of experience building and optimizing big data platforms and pipelines. He brings deep hands-on expertise in Scala, Java, Spark, Hive and has repeatedly solved production-scale issues from concurrency and compression to query pushdowns and hybrid column stores. At Oracle and prior roles at Huawei, Cloudera and Aryaka he has driven features that improve performance on terabyte-to-petabyte datasets and supported complex integrations like Spark-on-HBase with Solr. An active contributor to the Apache CarbonData project, he’s fixed high-cardinality, percentile-aggregate and concurrency bugs and implemented storage and min/max enhancements that materially speed queries. Pragmatic and systems-oriented, he blends open-source contributions with enterprise delivery to turn research-grade storage techniques into reliable production systems.
Contributions:25 commits, 32 PRs, 25 comments in 11 months
Contributions summary:Ashok contributed to the Apache CarbonData project by addressing various bugs and implementing enhancements related to data storage and query processing. Their work included fixing issues with column groups, handling percentile aggregate functions, and improving concurrency for dictionary generation. The user also focused on code related to high cardinality identification and data compression, demonstrating a strong understanding of data optimization techniques within the project.
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Ashok Kumar - Principal Member Of Technical Staff at Oracle