Darshan Jagaluru

Software Engineer at Google

Bengaluru, Karnataka, India
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Summary

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Darshan Jagaluru is a software engineer with 10 years of experience building backend systems, currently working at Google out of Bengaluru. He has a strong background in cloud-native data processing and database integrations, evidenced by notable open-source contributions to Apache Beam—enhancing SpannerIO with Databoost support, jsonb handling, and commit timestamp and timeout improvements. Prior roles at Atlassian and multiple positions at Intuit reflect a steady progression in engineering responsibility across large-scale product teams. He holds a BE in Computer Science from PES University and brings practical experience shipping resilient, distributed systems in production. A detail-oriented engineer, he combines hands-on coding with open-source collaboration on widely used data-processing infrastructure.
code10 years of coding experience
job4 years of employment as a software developer
bookBachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at PES University
bookJNV Puducherry, JNV Puducherry at Avanti Alumni Network (AAN)
bookJawahar Navodaya Vidyalaya, Davanagere
bookJawahar Navodaya Vidyalaya, Pondicherry
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Github Skills (13)

google-cloud-spanner10
javas10
apache-beam10
java10
testing10
sql9
databases8
batch8
database8
streaming8
batching8
go7
big-data7

Programming languages (3)

JavaPLpgSQLGo

Github contributions (5)

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apache/beam

Nov 2021 - Jan 2022

Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:
userBack-end Developer
Contributions:17 reviews, 3 commits, 11 PRs in 2 months
Contributions summary:Darshan primarily contributed to the Apache Beam project by enhancing the SpannerIO integration, specifically focusing on features related to Google Cloud Spanner. Their work involved parameterizing timeouts for partition queries and reads, handling the `commit_timestamp` data type in PostgreSQL Spanner, and adding support for Spanner Databoost functionality. Furthermore, they addressed retry settings and added support for the `jsonb` datatype within SpannerIO.
apache-beamstreaming-datapythonjavabig-data
darshan-sj/DataflowTemplates

Jan 2022 - Jul 2026

Google-provided Cloud Dataflow template pipelines for solving simple in-Cloud data tasks
Contributions:13 PRs, 600 pushes, 91 branches in 4 years 5 months
data-cloudgcpsolvinggoogle-cloud-platformbigquery
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