Kenneth Jung
Software Engineer at Google
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolKenneth Jung is a seasoned software engineer in Seattle with 11 years of experience building and improving complex systems across cloud and OS platforms. Currently at Google, he combines deep systems knowledge from his Windows NT and OneCore work with cloud-native engineering honed at VMware on Photon Platform and Xenon. He contributes to high-profile open source projects like Apache Beam, where he enhanced BigQuery integration and storage API support, showing a knack for bridging large-scale distributed systems with cloud provider services. Kenneth is equally comfortable in low-level kernel internals and back-end distributed control planes, translating intricate technical challenges into reliable, maintainable solutions. Known for digging into the guts of complicated systems, he brings pragmatic engineering judgment and a track record of shipping durable infrastructure and integrations.
11 years of coding experience
12 years of employment as a software developer
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at Stanford University
English
Stackoverflow
51reputation
5kreached
2answers
0questions
Github Skills (18)
bigquery10
java10
gcp10
javas10
sql10
apache-beam10
testing9
data-pipelines9
data-pipeline9
google-cloud-storage6
python6
avro6
google-bigquery6
google-cloud-platform6
batching4
Programming languages (4)
Github contributions (5)
apache/beam
May 2018 - Feb 2021
Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:32 reviews, 26 commits, 25 PRs in 2 years 9 months
Contributions summary:Kenneth primarily focused on enhancing the Apache Beam project's integration with Google Cloud Platform (GCP) services. Their contributions involved bug fixes related to the BigQuery connector, specifically addressing issues with byte processing and estimated size calculations. They also updated GCP dependency versions and implemented new features for the BigQuery storage API, including support for queries and the introduction of value provider interfaces for table read options. Furthermore, the user contributed to updating the BigQuery Tornadoes example with the storage API.
golangpythonstreaming-databeambatch
kmjung/spark-bigquery-connector
Mar 2019 - May 2023
The connector uses the Spark SQL Data Source API to read data from Google BigQuery.
Contributions:2 reviews, 2 PRs, 24 pushes in 4 years 2 months
data-sourceapidata-analyticsdata-source-apiconnector
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