Loren Barcus
Data Engineer II
Greater Minneapolis-St. Paul Area United States
Summary
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Senior🎓
Top SchoolLoren Barcus is a Data Engineer II with 11 years of experience building cloud-native data platforms and developer tooling that power robotics, ML, and reliability teams. He designs and implements lakehouse/lambda architectures, ETL pipelines, and DevSecOps automation across AWS, Spark/EMR/Databricks, Kafka, and Kubernetes, often pairing Python and C/C++ for performance-sensitive components. At May Mobility he led the cloud-native annotation subsystem for computer vision pipelines, optimized C/C++ Meson builds into containerized deployments, and built PySpark pipelines to surface MTTR and reliability insights for hardware teams. Loren blends hands-on systems work with developer productivity: CLI tools for cluster routing and Kafka load testing, interactive notebooks for cross-team collaboration, and a history of mentoring engineers on security and cloud-native design. His background in industrial engineering and early work on production advertising pipelines gives him a pragmatic, metrics-driven approach to solving complex data problems. He’s equally comfortable tuning low-level build systems as he is architecting scalable ML dataflows, making him a bridge between firmware, infrastructure, and data science teams.
11 years of coding experience
9 years of employment as a software developer
B.S., Industrial Engineering and Operations Research, B.S., Industrial Engineering and Operations Research at University of Massachusetts AmherstNA, M101JS: MongoDB for Node.js Developers, 92%, NA, M101JS: MongoDB for Node.js Developers, 92% at MongoDB UniversityProgramming languages (1)
Github contributions (5)
LorenB/lorenb.github.io
Apr 2016 - Oct 2018
Contributions:8 pushes, 1 branch in 2 years 6 months
LorenB/countries-and-capitals
Jul 2014 - Oct 2014
Contributions:10 commits in 2 months
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