Jinlin Yang

Technical Lead at TerraTrue

Bellevue, Washington, United States
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Summary

🤩
Rockstar
🎓
Top School
Jinlin Y is a Technical Lead in Bellevue, WA who combines deep distributed-systems expertise with hands-on data infrastructure and privacy engineering. At TerraTrue he led cloud monitoring, data discovery (building on the open-source DataHub project), and automated data classification, while advising the CEO and Head of Engineering and owning backend infrastructure—including an AppEngine custom log appender and a MySQL tenancy optimization that cut connections by 20x. He contributes to DataHub upstream (fixing search filters, upgrading Kafka in Docker Compose, and adding DynamoDB ingestion pagination), showing practical experience with Kafka, Docker, and large-scale ingestion pipelines. His background spans founding work on Microsoft Azure monitoring, growing product and geo-location teams at Snapchat, and shipping Shopify apps for merchants, blending large-scale systems design with product-focused delivery.
code3 years of coding experience
job13 years of employment as a software developer
bookB.E., Computer Science, B.E., Computer Science at Tsinghua University
bookMCS, Computer Science, MCS, Computer Science at University of Virginia
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Github Skills (24)

data-pipelines10
kafka10
java10
javas10
data-catalog10
data-pipeline10
amazon-elasticsearch9
elasticsearch89
data-governance9
elasticsearch79
elasticsearchapi9
elasticsearch29
dynamodb9
aws-elasticsearch9
elasticsearchquery9

Programming languages (3)

JavaMustachePython

Github contributions (5)

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datahub-project/datahub

Jul 2022 - Oct 2023

The Metadata Platform for your Data and AI Stack
Role in this project:
userBack-end & DevOps Engineer
Contributions:11 reviews, 8 PRs, 31 comments in 1 year 2 months
Contributions summary:Jinlin contributed to both back-end and DevOps aspects of the datahub-project/datahub repository. They fixed search functionality by correctly filtering fields, and ensured the retention policy for a Kafka topic was correctly configured. Furthermore, they upgraded Kafka and its dependencies within the Docker Compose environment, and implemented pagination for listing tables in the DynamoDB ingestion source. These actions demonstrate proficiency in data infrastructure management and improvements to data ingestion pipelines.
data-managementdata-discoverydata-stackmodern-data-stackdata-catalog
jinlintt/datahub

Feb 2023 - Oct 2023

The Metadata Platform for the Modern Data Stack
Contributions:41 pushes, 9 branches, 3 tags in 7 months
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