Daan Rademaker is a Senior Data Engineer with eight years of experience building scalable data and ML systems, currently leading data engineering at kaiko.ai after a pivotal lead role at Royal FloraHolland. He combines deep Python expertise and pragmatic MLOps with hands-on experience delivering end-to-end solutions— from real-time ingestion and validation pipelines to algorithms-as-a-service for route optimization that cut logistics costs by ~15% (€5M). Daan has a track record of improving team workflows and code quality through tooling (Poetry, GitLab CI/CD) and standards that reduced technical debt and accelerated delivery. He also helped deploy multi-model inference systems that doubled faulty-supply detection and integrated real-time decision mechanisms into production. With a research master’s background in economics and cross-industry experience (telecom, automotive IoT, gambling monitoring), he blends quantitative rigor with product-focused engineering.
8 years of coding experience
6 years of employment as a software developer
geen Accounting and Finance, geen Accounting and Finance at Ventura College
Research Master's degree Economics, Research Master's degree Economics at Utrecht University
Business International Business, Business International Business at Santa Barbara City College
Bachelor of Applied Science (B.A.Sc.) International Business Administration, Bachelor of Applied Science (B.A.Sc.) International Business Administration at Erasmus University Rotterdam
This library can convert a pydantic class to a avro schema or generate python code from a avro schema.
Contributions:11 pushes, 5 branches in 2 years 7 months
avropython-codepython310pythonpydantic
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