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Matthew Jin

@matthewjin

Software Engineer at Databricks building Lakeflow data connectors that cut partner teams’ pipeline setup time by 32%.

United States
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What I'm looking for

I gravitate toward roles where technical work directly supports experimentation, learning, and measurable improvements in real-world systems.

At Databricks, I built Lakeflow ingestion connectors that brought data from Salesforce, SQL Server, and event streams into standardized schemas, reducing pipeline setup time for partner teams by 32%.

I also designed orchestration workflows with Airflow and dbt, and added diagnostics and retry logic that cut data engineers’ troubleshooting time by 23% during production incidents.

At Airtable, I extended Interfaces with React and TypeScript components and built FastAPI services to synchronize external API data into a PostgreSQL-backed source of truth. I also created experiment runners and Streamlit dashboards for reviewing A/B test outcomes.

Earlier, I developed telemetry and workflow services at Nuro and implemented Cloud Armor policy evaluation logic at Google. Across these roles, I’ve worked on data platforms, production pipelines, and applications that make complex workflows usable.

Experience

Work history, roles, and key accomplishments

Blend Labs logoBL

Software Engineering Intern

Jun 2016 - Sep 2016 (3 months)

Contributed Python scripts to normalize borrower data into PostgreSQL schema and built React forms for applicant information collection.

Education

Degrees, certifications, and relevant coursework

California Institute of Technology logoCT

California Institute of Technology

Bachelor’s Degree, Mathematics and Computer Science

2013 - 2017

Bachelor’s Degree in Mathematics and Computer Science from the California Institute of Technology, completed in 2017.

Availability

Looking for a job

Location

United States

Authorized to work in

Salary expectations

90k+ USD

Job categories

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