Timo Roest

Sr. Specialist Solutions Architect at Databricks

Barcelona, Catalonia, Spain
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Summary

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Senior
🎓
Top School
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.
code9 years of coding experience
job6 years of employment as a software developer
bookBachelor's Degree English Language and Culture, Bachelor's Degree English Language and Culture at Leiden University
bookMaster’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
bookBachelor's Degree IBA, Bachelor's Degree IBA at Tilburg University
languagesDutch, English, Spanish
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Github Skills (77)

python10
spark-framework10
spark-ml9
mqtt9
api9
generative-art9
home-automation9
alfred-workflow9
api-client9
price9
datasets9
inpainting9
currency-converter9
automation9
home-assistant9

Programming languages (4)

TypeScriptHTMLJupyter NotebookPython

Github contributions (5)

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tiems90/tiems90.github.io

Apr 2017 - Jun 2020

Contributions:2 PRs, 21 pushes, 2 branches in 3 years 2 months
tiems90/mosaic

Jul 2022 - Mar 2025

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
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