SanderĀ Wubben
Data-architect
Leiden, South Holland, Netherlands
Summary
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Top SchoolSander Wubben is a data architect with 11 years of experience translating abstract problems into pragmatic, production-ready data and cloud solutions, currently shaping data architecture at Lely. He bridges customers and engineering teams, combining strong social skills with deep technical hands-on work in big data, ML/AI and Azure cloud migrations. His background spans Splunk-based BI and SOC analytics, platform design for managed security services, and leading DevOps teams through infrastructure and data-platform implementations. Trained in computer science, mathematics and econometrics, he brings a quantitative mindset to architecture decisions and a habit of learning by diving into live systems. Colleagues rely on him for pragmatic governance, performance-driven designs and for turning monitoring insights into scalable ML-ready platforms.
11 years of coding experience
Master of Science (MSc) Econometrics and Operations Research, Master of Science (MSc) Econometrics and Operations Research at Vrije Universiteit Amsterdam (VU Amsterdam)Bachelor of Science (BSc) Computer Science, Bachelor of Science (BSc) Computer Science at Leiden UniversityVWO N&T N&G, VWO N&T N&G at Wateringse Veld College, Den Haag
Github Skills (12)
oms8
jekyll7
jekyll-theme7
clip5
deep-learning4
nlp4
pytorch4
bert4
openai3
python3
onnx2
neural-search1
Programming languages (2)
Github contributions (5)
kadarakos/python-course
Jun 2015 - Nov 2015
Contributions:39 commits, 24 PRs, 12 pushes in 5 months
humanitiespythonpython3
swubb/python-course
Jul 2015 - Nov 2015
Contributions:6 PRs, 23 pushes in 4 months
pythondata-sciencedata-processingcommunicationmachine-learning
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