# Lane Barlow

> Staff Software Engineer @ Deep 6 AI

I build software at the intersection of healthcare and distributed systems.

Location: Kihei, Hawaii, United States
Profile: https://flows.cv/lane

I <3 clean, documented, tested code

## Work Experience
### Staff Software Engineer @ Deep 6 AI
Jan 2023 – Present
I continue to architect improvements Deep 6's FHIR enrichment pipeline - recent focuses include cost reduction and improved observability.

### Senior Software Engineer, Tech Lead - Data @ Deep 6 AI
Jan 2023 – Jan 2023
I architected and led the on-time delivery of Deep 6's FHIR enrichment and indexing pipeline.

### Senior Software Engineer - Data @ Deep 6 AI
Jan 2021 – Jan 2022
I design, plan, implement, test, review, and maintain backend software that powers Deep 6's core products, such as our patient-study matching system. I work on systems like
- ETL pipelines
- search indexes
- data access APIs

### Data Engineer @ Deep 6 AI
Jan 2019 – Jan 2021 | Pasadena, CA

### Software Engineer @ DataSense Analytics
Jan 2018 – Jan 2018 | Poway, California
Developed backend features for DataSense's Spark IDE product
• Designed code generation and source control management framework for Spark pipelines
• Practiced detailed code review
• Improved performance of key API endpoints - by 80% in one case

### Data Engineer @ DataSense Analytics
Jan 2017 – Jan 2018 | Melbourne, Victoria, Australia
As external contractor: guided team with diverse skill sets in using Spark to build scalable data pipelines that extract, transform and load terabytes daily (on-site in Melbourne, Victoria, Australia)
• Built and deployed 3 stable data pipelines flaky on-prem cluster
• Spearheaded test fixture that identified numerous bugs in definition of key metrics 
• Upskilled several data scientists to build and debug Spark applications
• Wrote extensive documentation endorsed enthusiastically by technical owners

### Software Engineer @ Twine Analytics
Jan 2017 – Jan 2017 | Poway, California
Developed analytics and BI tools utilized by Twine’s data scientists to deliver insights to industry leaders
• As #1 contributor, maintained open-source framework Spark Modularized View (SMV), utilized in all of Twine’s and DataSense’s analytics projects and now utilized across the globe
• Created SMV code generation server for DataSense’s React-based Spark IDE - bug-free since merge

### Software Engineer Intern @ Twine Analytics
Jan 2016 – Jan 2016 | Rancho Bernardo, California
• Developed Docker builds of SMV and Twine’s BI application - the SMV build was used by clients in production
• Created data visualizations like heatmaps and a 3D scatter plot for Twine’s Angular-based BI front-end


## Education
### Bachelor’s Degree in Mathematics, Computer Science
UC San Diego
Jan 2013 – Jan 2016


## Contact & Social
- LinkedIn: https://linkedin.com/in/lane-barlow-1346b4a1

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Source: https://flows.cv/lane
JSON Resume: https://flows.cv/lane/resume.json
Last updated: 2026-03-23