Jinlin Yang
Technical Lead at TerraTrue
Bellevue, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolJinlin Yang is a Technical Lead based in Bellevue, WA with three years of formal experience and a long arc of engineering and leadership roles that include an L6 Engineering Manager stint at Snapchat and independent freelance work. He currently leads technical initiatives at TerraTrue, bringing hands-on expertise in back-end systems, data infrastructure, and DevOps. His open-source contributions to the prominent DataHub project show practical skills in Kafka, DynamoDB ingestion, pagination, and improving search and retention policies—signals of a practitioner who bridges platform reliability and data pipeline hygiene. Jinlin combines advanced academic training (MCS and PhD-level study in computer science from the University of Virginia) with pragmatic product delivery. Colleagues can expect a leader comfortable shifting between coding, infrastructure upgrades, and cross-functional coordination. He quietly blends research-caliber depth with production-focused impact.
4 years of coding experience
6 years of employment as a software developer
B.E., Computer Science, B.E., Computer Science at Tsinghua UniversityMCS, Computer Science, MCS, Computer Science at University of Virginia
Github Skills (18)
data-pipelines10
kafka10
java10
javas10
data-catalog10
data-pipeline10
amazon-elasticsearch9
data-governance9
dynamodb9
aws-elasticsearch9
elasticsearchquery9
amazon-dynamodb9
elasticsearch-api9
elasticsearch9
docker8
Programming languages (3)
Github contributions (5)
datahub-project/datahub
Jul 2022 - Oct 2023
The Context Platform for your Data and AI Stack
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions: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.
aimetadatadatahubdata-catalogdata-discovery
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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