Natan Derroitte

2020 — now
Senior Data Engineer Consultant → Faction Lead
Orange Business
→ see missions details
2026
Faction Lead — DataOps
Manage and mentor a 15-member DataOps engineering team, setting strategic priorities and providing technical leadership for enterprise-scale cloud and data projects.
Consulting missions
2025 — 2026
Tech Lead — Azure Databricks platform
Elia
Design and implementation of a scalable data platform on Azure Databricks for grid monitoring and weather forecasting.
2025
Data Engineer — Microsoft Fabric
SNCT
Implementation of a medallion architecture in Microsoft Fabric notebooks.
2025
Senior Data Engineer - Data platform
Paradigm
Maintenance of a large, modern data platform monitoring Brussels mobility data.
2025
Architect & Data Engineer — AI literature watch
Pierre Fabre
Designed and deployed the infrastructure of a literature-watch platform powered by OpenAI models.
2025
Architect - Azure Databricks
Régie des bâtiments
Supported the migration to Unity Catalog.
2025
DevOps Engineer - Terraform Azure infrastructure
Forces Motrices Valaisannes
Deployed a secure, state-of-the-art infrastructure for an Azure Databricks data platform through IaC pipelines using Terraform.
2024 — 2025
Tech Lead — Azure Databricks platform
Tourism Wallonia
Built a modern data platform for tourism sites in Wallonia.
2023 — 2024
Data engineer - Azure Databricks migration
UCB
Lift-and-shift from an on-premise ETL to an Azure Databricks data platform for R&D.
2021 — 2023
Data Engineer - BI Team
Worldline
Implementation of ingestion flows for large volumes of transactional data using PySpark on Databricks.
2020
Data scientist - NLP
Servier
Literature watch.
2020
Data scientist - Computer Vision
GSK
Bacterial colony detection using CNN models.
2023 — 2025
Teacher — Data Engineer & Data Visualisation (evening classes)
Hénallux
2019 — 2020
Master's thesis internship — Reinforcement Learning
John Cockerill
→ see thesis details
Reinforcement learning is a branch of machine learning where an agent learns to make decisions by interacting with an environment and receiving rewards or penalties for its actions.
Focus on reward shaping: optimisation of the reward function used to guide the agent's learning.
Conducted for the company's R&D department.
2016 — 2020
Student instructor
University of Liège
→ see courses taught
Exercise sessions & labs:
2018 — 2019
Introduction à l'informatique
Exercise sessions in C.
2017 — 2018
Organisation des Ordinateurs
Exercise sessions on binary representation, computer structure and assembly language.
2017 — 2018
Laboratoires de programmation mathématique et physique
Helping students solve practical exercises in Python.
2016 — 2018
Premier projet d'informatique
Computer Science labs — helping students build a game in Python.
Programming languages
Python Java Scala JavaScript C C++ Dart MATLAB Scheme Julia
Data engineering
Azure Databricks Spark dbt Terraform Docker DevOps & CI/CD Streaming HiveMQ MySQL PostgreSQL Oracle TimescaleDB MongoDB
Software engineering
REST APIs Object-Oriented Project structure Code Refactoring Flutter Flask Mobile apps Discord bots Processing
Data science
Pandas NumPy regex scikit-learn PyTorch TensorFlow
Machine / Deep Learning — academic background.
Data visualisation
Power BI Looker Studio Grafana
Typesetting
LaTeX Markdown HTML / CSS
Tools & misc
LLM / Claude Jira Confluence Git Agile Miro Lucid
Spoken languages
French — native English — professional Dutch — basic
Master's — Civil Engineering in Computer Science 2015 — 2020
University of Liège
Focus on Intelligent Systems & Robotics.
Certifications
• Databricks Certified Data Engineer Associate (2023)
• Databricks Certified Spark Developer (2021)
• Microsoft Certified: Azure Data Engineer Associate (2021)