Daniel Barrundia is a data engineer with 11 years of experience building production data products and pipelines across finance and startups, currently contributing to Tiger Global Management after roles at Marcus by Goldman Sachs. Born and raised in Guatemala, he holds a B.S. in Computer Science from Georgia Tech and has a track record of translating research and ML prototypes into REST-backed production services. As Head of Data Engineering at Rearc he focused on consolidating disparate sources into clean, reliable data products for analytics, while earlier stints at Goldman Sachs included ML work predicting regulatory impact. He combines hands-on backend engineering (Python, APIs, ETL) with people leadership, having led a large TA team at Georgia Tech and teams at Rearc. Based in New York, he brings both startup agility and large-institution rigor to data platform problems, with a practical focus on operationalizing models and data reliability. An uncommon asset is his continuity across academia, finance, and consulting—making him adept at bridging stakeholders with technical delivery.
This project sets up AWS Step Functions Workflow to automatically execute the publication steps for new dataset revisions for AWS Data Exchange (ADX) Products.
Contributions:7 reviews, 10 commits, 13 PRs in 1 year 2 months
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Contributions:25 pushes, 4 branches in 8 months
monitoremrbigqueryapacheprogrammatically
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.