Timo Roest is a multilingual Sr. Specialist Solutions Architect based in Barcelona with a decade of experience turning geospatial and mobility data into monetisable big data products and pipelines. He combines deep hands-on expertise in machine learning, Spark/Hadoop and cloud-based big data platforms with a proven ability to translate technical solutions for audiences from C-level to analysts. At Databricks he has focused on scalable geospatial workflows, including work to detect illegal ship-to-ship transfers, and previously built geospatial capabilities and APIs while enabling presales teams at Tamr. His background in telco analytics and economic analysis gives him a rare blend of domain knowledge and quantitative rigour that informs pragmatic product decisions. Colleagues describe him as a technical coach who elevates team practices through code, documentation and tailored training.
9 years of coding experience
6 years of employment as a software developer
Bachelor's Degree English Language and Culture, Bachelor's Degree English Language and Culture at Leiden University
Master’s Degree Specialised Economic Analysis in International Trade Finance and Development, Master’s Degree Specialised Economic Analysis in International Trade Finance and Development at Barcelona School of Economics
Bachelor's Degree IBA, Bachelor's Degree IBA at Tilburg University
An extension to the Apache Spark framework that allows easy and fast processing of very large geospatial datasets.
Contributions:1 PR, 64 pushes, 10 branches in 2 years 8 months
geospatialapachedatastreamsparkbig-data
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.