Summary
Matthias Van Der Elst is a Data Engineer and seasoned integration architect with roughly a decade of experience designing API-first, message-driven systems and enterprise-grade data platforms. He has led reference architecture and API design engagements for clients like Fednot and ABVV, and more recently built a production lakehouse using Kafka, Spark, Airflow, dbt and Apache Iceberg with Nessie for branching and Trino/Dremio for querying. Comfortable across integration stacks (IBM IIB, API Connect, Apache Camel) and modern data tooling, he pairs practical systems engineering with functional analysis skills honed in public and private sector projects. He also brings operational sensibility—containerised deployments, monitoring with Grafana, and IoT sensor ingestion—so solutions are built for scale and observability. Currently completing an MSc in Artificial Intelligence, he blends integration expertise with emerging AI knowledge to tackle complex data and automation challenges. Notably, he often acts as the bridge between business analysts and platform engineers, turning functional requirements into robust, API-driven architectures.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Artificial intelligence, Master of Science - MS, Artificial intelligence at Open Universiteit
Bachelor, Multimedia & Communicatietechnologie, Bachelor, Multimedia & Communicatietechnologie at HOWEST Hogeschool West-Vlaanderen
Dutch, French, English