Bjorn Claessens
Senior Data Engineer specializing in distributed systems and real-time data pipelines. Passionate about building scalable data platforms that power enterprise decision-making.
Freelance Data Engineer @ Hoppenbrouwers
06/2026 - Present
Data engineering for all company data in Microsoft Fabric.
Freelance Data Engineer @ Hoppenbrouwers
- Create, improve and migrate data pipelines.
- Introduce engineering best practices.
- Agentic engineering (AI).
- Prepare and manage onboarding of new talent.
Freelance Data Engineer @ ASML
04/2023 - 06/2026
Data engineering for complex machine data processing.
Freelance Data Engineer @ ASML
- Complex machine data parsing using medallion architecture.
- Data engineering for real-time and batch-based solutions.
Senior Data Engineer / Tech Lead @ Nike
10/2019 - 04/2023
Technical lead for a data squad building scalable, reusable data pipelines.
Senior Data Engineer / Tech Lead @ Nike
- Built scalable and reusable data pipelines to provide foundational data aligned to a global data model.
- Core commit to an inner-sourced ETL framework built on PySpark, infrastructure as code, and metadata-driven patterns.
- Defined and upheld squad best practices as technical lead.
- Ran proofs of concept for new technology stacks and solution patterns.
- Contributed to communities of practice and architectural decision making.
- Drove cross-team data integrations.
Big Data Consultant @ Dynapps N.V. (client Johnson & Johnson)
04/2016 - 10/2019
Consultancy for Big Data projects - ETL at scale (batch and NRT).
Big Data Consultant @ Dynapps N.V. (client Johnson & Johnson)
- Built ETL at scale across batch and near-real-time workloads.
- Worked on machine learning pilots.
- Supported AB deployment of datasets.
- Contributed to cost management across the platform.
Big Data Consultant @ Cronos
07/2014 - 03/2016
Development, Operations & DevOps consultancy for Big Data projects.
Big Data Consultant @ Cronos
- Handled Cloudera cluster deployment and administration.
- Delivered DevOps support for Big Data infrastructure.