Nimbus Goehausen is a Principal Software Engineer with over a decade of experience building large-scale data and software systems, currently leading engineering at Radiant from Santa Monica. A pragmatic generalist, he excels in big data pipelines, Spark/Presto ecosystems, and data products—balancing right-tool pragmatism with simple, replaceable solutions. He has driven production analytics and ML platforms at companies including Instagram, Salesforce, and Bloomberg, and led customer migrations and AI-enabled pipeline tooling at Prophecy. Nimbus combines hands-on implementation (from realtime aggregation techniques to fullstack prototypes) with developer-facing platform work and a focus on team culture that favors experimentation and learning. Notably, his background spans both robotics research at UC Berkeley and practical commercial data products, giving him an uncommon mix of experimental curiosity and production rigor.
10 years of coding experience
16 years of employment as a software developer
BA Physics Computer Science, BA Physics Computer Science at University of California, Berkeley
Library for organizing batch processing pipelines in Apache Spark
Contributions:27 commits, 5 PRs, 4 pushes in 5 months
batchbatch-processingapachebig-dataspark
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.
Request Free Trial
Nimbus Goehausen - Principal Software Engineer at Radiant