Wei-hsiang Lin
Staff Engineer, Site Reliability at LinkedIn
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolWei-hsiang Lin is a Staff Site Reliability Engineer based in San Jose with nine years of experience building scalable, highly operable infrastructure for large-scale services at LinkedIn and Yahoo. He excels at troubleshooting complex, end-to-end system issues and drives automation to reduce noise and improve reliability—historically cutting alert noise dramatically and automating recovery and cleanup tasks. Comfortable across cloud-native platforms (including Kubernetes on AWS), CI/CD, and system-level tooling, he combines analytic thinking with pragmatic scripting to optimize cost and capacity. A USC-trained computer scientist, he pairs hands-on engineering with a curiosity for new technologies and a track record of turning operational pain points into automated, repeatable solutions.
9 years of coding experience
10 years of employment as a software developer
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at University of Southern CaliforniaBachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at Fu Jen Catholic University
English, Chinese
Github Skills (35)
data-stream10
spark10
lifecycle10
kafka10
partitioning10
apache10
dcos10
data-ingestion10
management10
batch10
stream-processing10
aerospike10
replication10
streaming10
hadoop9
Programming languages (1)
Github contributions (5)
linweihs/incubator-gobblin
Sep 2019 - Nov 2024
Gobblin is a distributed big data integration framework (ingestion, replication, compliance, retention) for batch and streaming systems. Gobblin features integrations with Apache Hadoop, Apache Kafka, Salesforce, S3, MySQL, Google etc.
Contributions:15 pushes, 8 branches in 5 years 3 months
salesforceretentionbig-data-integrationcompliancekafka-connect
linweihs/maxlin.org
Apr 2017 - Jul 2017
Contributions:95 pushes, 1 branch in 3 months
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