Experience

❯ Data & Platform Engineer, OVAM

July 2025 - Now
Active in the data team, working on both data pipelines and managing infrastructure:

  • Provisioning and maintaining Azure infrastructure with Terraform
  • Designing and deploying data pipelines for ingestion using Azure Data Factory and Azure Functions
  • Implementing data transformations and models using Python, SQL, dbt and Databricks
  • Setting up templated Databricks Asset Bundles
  • Maintenance of an AI application to anonimyze documents based on Azure OpenAI
  • Creating and maintaining CI/CD pipelines in Azure Devops

Technologies used: Azure, Azure Data Factory, Azure DevOps, Azure OpenAI, Azure Functions, Terraform, Databricks, dbt, PowerBI, Docker, Python, SQL

❯ BI Data Engineer, NN Non-Life

December 2024 - June 2025
Working in the DWH team as a Data Engineer and PowerBI Lead on:

  • Developing, optimizing, and maintaining data pipelines using Azure Data Factory.
  • Working with SQL Server databases to manage, transform, and optimize data for various analyses.
  • Automating and improving reports and dashboards in Power BI to meet different business needs.
  • Implementing and maintaining CI/CD processes and managing data projects within a DevOps environment.
  • Collaborating with business and other stakeholders to identify data needs and develop impactful data solutions.

Technologies used: SQL, SQL Server, PowerBI, Azure, Azure Data Factory, Azure DevOps, CosmosDB, Azure LogAnalytics

❯ Data Engineer, Infrabel

December 2023 - December 2024
Active in the BI team and mainly writing data pipelines using Python and SQL in Airflow. This also includes:

  • Migrating data from SAPH Hana to SQL Server and MS Fabric
  • Migrating data pipelines from SAP BODS to Airflow
  • Setting up MS Fabric:
    • Creating Lakehouses, Warehouses and Dataflows Gen2
    • Configuring Git integration
    • POC in Airflow on how to push data from on-prem sources to Fabric
  • Building Docker images and configuring CI/CD pipelines in Gitlab
  • Development of a custom IBM provider for Airflow to connect to IBM MQ
  • Contributed to the Apache Airflow project by fixing an issue in the devcontainer. This enhanced the development environment for the team and the Airflow community

Technologies used: Fabric, Airflow, Openshift, Elasticsearch, Postgres, SAP Hana, Gitlab, Linux, Python, SQL, Bash

❯ Data Engineer Advanced Analytics, Proximus

October 2022 - November 2023
Working in the Advanced Analytics squad on:

  • Migrating data from Hortonworks Data Platform to Cloudera: technical analysis of data-flows, development of migration scripts and offering support to end-users.
  • Setting up data pipelines for Machine Learning use-cases based on Spark and Kafka using an in-house developed orchestrator

Technologies used: Cloudera, Hadoop, Apache Atlas, Spark, Hive, Kafka, Teradata, SQL Server, Python, Bash, Gitlab, Linux

❯ Data Platform Engineer, UZA

October 2020 - October 2022
Setting up a Big Data platform in Azure:

  • Creation and maintaining of Azure infrastructure, introduced Terraform as IaC tool
  • Setting up Databricks and Azure Data Lake Gen 2 with Terraform and writing POC pipelines with PySpark
  • Developing custom search engine using Python, Dash and Elasticsearch.
  • Managing a Kubernetes cluster using Helm and Kustomize
  • Implementing real-time messaging system using RabbitMQ, custom Python application, MongoDB and SQL Server. Main responsibility was making it highly available and getting it to scale correctly in Kubernetes.
  • Kubernetes bot that sents alerts to Microsoft Teams channel if pods are down
  • CICD pipelines for container images using Azure Devops

Technologies used: Azure, Azure Devops, Python, Docker, Kubernetes, Databricks, SQL Server, MongoDB, Azure Data Lake gen2, Elasticsearch, RabbitMQ and Terraform.

❯ Machine Learning Engineer, Ixor

October 2019 - September 2020
Developing machine learning solutions from POC to deployment for clients in various sectors:

  • Detection of early-stage breast cancer in tissue scans
  • Automatic invoice processing using computer-vision and NLP
  • Chatbot based on Google Dialogflow

Technologies used: Python, Pytorch, Scikit-learn, MLFlow, Docker, PostgreSQL and AWS S3.

❯ Senior Quantitative Analyst, AXA Bank Europe

September 2013 - September 2019

  • Developing quantitative and financial models using statistics and stochastic calculus
  • Responsible for monitoring and cleaning data
  • Reporting and dashboarding using MicroStrategy, SQL and Excel

Technologies used: Python, R, Excel, VBA, SQL, MicroStrategy, Bloomberg

❯ Financial Risk Consultant, Deloitte Belgium

September 2011 - September 2013
Involved in projects concerning financial risk management, derivatives pricing, data quality, Monte Carlo simulations and Gaussian copula’s.

Technologies used: Excel, VBA, R, Bloomberg