Lars Albertsson is a Stockholm-based founder and veteran data engineer with 11 years of professional experience building scalable data platforms and pipelines. He has led data engineering and consulting firms (Scling, Mapflat) delivering bespoke big-data solutions on Hadoop, Spark and cloud platforms, and previously architected data infrastructure at Schibsted and Spotify for high-throughput, user-driven systems. His background spans low-latency trading engines at Cinnober, NLP-driven ingestion at Recorded Future, and developer-productivity work at Google—evidence of strong systems thinking across latency, reliability, and data quality concerns. Lars combines hands-on implementation with product-minded consulting, often turning research-grade techniques into production-ready data processing services. A former researcher in testing and debugging for concurrent systems, he brings a methodical, test-first approach to building robust data pipelines.
11 years of coding experience
22 years of employment as a software developer
MSc, Electronics, MSc, Electronics at Royal Institute of Technology (KTH)
PhD student, Computer science, PhD student, Computer science at Uppsala University
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
Contributions:35 pushes, 9 branches in 6 years 4 months
Contributions:47 commits, 244 pushes, 24 branches in 3 years 8 months
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.