Prasad Subramanya - Engineering Manager at Tekion Corp

Prasad Subramanya

Engineering Manager at Tekion Corp

Bengaluru, Karnataka, India

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Summary

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Senior

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Top School

Prasad Subramanya is an engineering manager with a decade of experience building distributed systems, cloud-native platforms, and big data pipelines. He progressed through technical roles at Informatica, MapR, and Tekion, now leading engineering teams from Bengaluru to deliver scalable data and analytics services. Hands-on in Java, Go, and Python, he has shipped core storage and query-layer improvements in notable open-source projects like Apache Drill and Alluxio. His background includes designing end-to-end analytics platforms and contributions to MapR-FS/MapR-DB, reflecting deep storage and data orchestration expertise. Prasad combines leadership with regular code-level involvement, mentoring teams while still fixing critical backend bugs and adding features. He holds an MS in Computer Science from USC and brings a pragmatic, infrastructure-first approach to solving large-scale data problems.

10 years of coding experience

11 years of employment as a software developer

Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at University of Southern California

Bachelor of Engineering (BE) Computer Science, Bachelor of Engineering (BE) Computer Science at Bangalore Institute of Technology

English, Hindi, Kannada

Stackoverflow

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Github Skills (26)

hbase10

filesystem10

apache-drill10

alluxio10

java10

data-storage10

javas10

orchestrate10

sql10

drilldown10

orchestration10

unit-testing9

big-data9

performance-tuning8

data-analysis8

Programming languages (2)

JavaEiffel

Github contributions (5)

apache/drill

Oct 2017 - Jan 2018

Apache Drill is a distributed MPP query layer for self describing data

Role in this project:

Back-end Developer

Contributions:9 commits, 15 PRs, 54 comments in 3 months

Contributions summary:Prasad primarily contributed to Apache Drill's back-end functionality by addressing bugs and implementing new features. Their work included fixing queued time calculations and handling column family and column scans for HBase storage. They also added new counter metrics for monitoring and displayed process user/group information in the UI. Furthermore, the user implemented the "CREATE TABLE IF NOT EXISTS and CREATE VIEW IF NOT EXISTS" functionality and modified query execution time display.

jdbcdatastreambig-datadatabasehadoop

Alluxio/alluxio

Jul 2017 - Jul 2017

Alluxio, data orchestration for analytics and machine learning in the cloud

Role in this project:

Back-end Developer

Contributions:10 commits, 3 PRs, 2 comments in 26 days

Contributions summary:Prasad primarily focused on refactoring and enhancing the Alluxio codebase, particularly within the file system master component. Their work involved renaming test classes, correcting import group separations, and changing terminology. A significant portion of the commits involved updates related to "in-memory" and "in-Alluxio" functionalities, indicating a focus on data management and storage optimization. They also introduced new functionalities, such as retrieving in-memory files, and corrected associated test cases to reflect code changes.

data-analysisvirtual-distributed-filesystemanalyticsorchestrationdata-science

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