Aniket Mokashi
Senior Engineering Manager - BigQuery Runtime (Dremel) at The Apache Software Foundation
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolAniket Mokashi is a senior engineering leader with 15+ years building data platforms, distributed systems, and cloud ML infrastructure across Google, Apple, Meta, Twitter, Netflix and other major tech organizations. He currently leads BigQuery runtime investments (Dremel, Capacitor, BI Engine, Superluminal) at Google and previously built Apple’s Privacy-Preserving Lakehouse and large-scale data platforms at Meta and YouTube. Aniket combines hands-on systems design with people leadership—hiring and managing large engineering teams and senior managers to deliver production-grade storage, execution engines, and ingestion infrastructure. He’s a long-time Apache contributor and PMC member for Pig and Parquet, with notable OSS work dating back to Elephant-bird and Ambrose contributions that improved Hadoop/Pig compatibility and job diagnostics. Practical privacy, cost-optimized Kafka/warehouse architectures, and Iceberg-based lakehouse designs are recurring themes in his work, reflecting a focus on scalable, compliant data platforms. Based in Sunnyvale, he pairs academic training from Carnegie Mellon with a track record of turning open-source innovations into multi-petabyte production systems.
13 years of coding experience
14 years of employment as a software developer
B Tech, Computer Science, B Tech, Computer Science at Visvesvaraya National Institute of TechnologyMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Carnegie Mellon University
Stackoverflow
177reputation
8kreached
11answers
0questions
Github Skills (23)
apache-pig10
schema-design10
hadoop10
java10
javas10
data-processing10
parquet10
hadoop-mapreduce9
mapreduce9
thrift9
protobuffer9
protobuf9
refactoring8
debugging7
sql-server6
Programming languages (8)
Github contributions (5)
twitter-archive/ambrose
Apr 2014 - Jun 2014
A platform for visualization and real-time monitoring of data workflows
Role in this project:
Back-end Developer
Back-end DeveloperContributions:50 commits in 2 months
Contributions summary:Aniket primarily worked on refactoring code to improve job information querying and exception handling related to job status within the `Ambrose` platform. They implemented changes to ensure the robustness of the system by adding warning messages and null pointer checks. Their contributions also involved updating dependencies, fixing incorrect usages, and refactoring parts of the job hierarchy, improving the overall stability and maintainability of the system.
monitoringvisualization
twitter/elephant-bird
Oct 2013 - May 2014
Twitter's collection of LZO and Protocol Buffer-related Hadoop, Pig, Hive, and HBase code.
Role in this project:Backend Developer
Backend DeveloperContributions:13 commits in 7 months
Contributions summary:Aniket primarily contributed to enhancing the compatibility of the project with older versions of Pig by wrapping output schemas into tuples. They refactored the output schema wrapping process and added checks. Additionally, the user addressed licensing issues and corrected package naming, along with removing duplicated files. This suggests a focus on ensuring the project's functionality and adherence to standard practices.
hadoophbaselzoprotocol-bufferstwitter
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.