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Arno Arts

Distributed systems specialist · data platforms

I design distributed systems that keep working when machines, networks, and services fail—with a focus on resilient event-driven architectures, streaming data, and pragmatic platform tooling.

Based in Amsterdam, I currently build distributed data pipeline infrastructure at the Ministerie van Defensie, powering internal communication systems across a range of protocols. Previously I've worked with teams at KPN, DDi, and De Ree Holland on event-driven platforms, machine learning, and data science.

  • Kafka
  • distributed systems
  • fault tolerance
  • event-driven
  • streaming data
  • Go
  • Rust
  • Python
  • Docker
  • Kubernetes
  • Nix
Portrait of Arno Arts
Work Experience
See details
  • Ministerie van Defensie logo
    Sep 2025 - Current
    Ministerie van Defensie · Distributed Systems Engineer

    Designing distributed data pipeline infrastructure with Go, Kafka, and Kubernetes to keep Defence communication systems reliable across a variety of protocols.

  • KPN logo
    Nov 2022 - Sep 2025
    KPN · Distributed Systems / Data Platform Engineer

    Designing and operating distributed, fault-tolerant event-driven services and data platform tooling for one of the largest telecom providers in the Netherlands.

  • DDi logo
    Oct 2021 - Nov 2022
    DDi · Machine Learning / Backend Engineer

    Engineering production data and machine-learning systems for smart document processing, combining reliable APIs, scalable workflows, and secure containerized services.

  • De Ree Holland logo
    Dec 2020 - Oct 2021
    De Ree Holland · Data Scientist

    Building analytical data foundations for high-revenue companies, turning large, unstructured inputs into reliable insights for business decisions.

Let's work together

Have a distributed-systems problem to solve? I'm open to freelance projects and collaborations around reliable data pipelines, event-driven services, and platform tooling.