Freelancer profile translated to English.
Back to original languageAbout Mathias
For over 10 years, I have specialized in bridging the gap between operations and the data generated by complex operations.
Coming from an operational background myself, I fully understand the value of data and its impact on the daily lives of employees, as well as the difficulties in making this connection and translating it.
I don't need to be guided step-by-step to grasp complex business logic; I specialize in translating these operations into robust and industrialized data solutions, using Python, Azure Databricks, and Power BI.
English
Native or bilingual
French
Native or bilingual
Dutch
Native or bilingual
Spanish
Basic
Can work on-site
Valence (up to 50km), Lyon (up to 30km), Grenoble (up to 30km), Orange (up to 50km)
Experience
- DelhaizeSenior Data EngineerRETAIL (LARGE RETAILERS)July 2025 - Today (1 year and 1 month)Valence, FranceLed the data architecture redesign for the logistics domain of Delhaize Belgium, migrating from PowerQuery/PowerBI to Azure Databricks to ensure data quality, scalability, cost reduction, and performance optimization.
CONTRIBUTIONS AND RESPONSIBILITIES
- Created the architecture and deployed new data pipelines and orchestration strategies using dbt, shifting ETL workload out of the reporting layer.
- Served as the business owner for logistics data ingestions, managing the Databricks workspace, repositories, and Terraform parameterization.
- Redesigned legacy on-premise data pipelines according to modern standards: monorepo structure, strict Python typing, uv for dependency management, and data validation via Pandera. All changes were validated through strict CI/CD pipelines and Github Actions tests.
- Ensured the reliability of the ingestion ecosystem by implementing automated error reporting and robust validation frameworks.
- DelhaizeSenior Planning AnalystRETAIL (LARGE RETAILERS)October 2023 - July 2025 (1 year and 9 months)Zellik, BelgiumTransitioned from algorithm development to MLOps, focusing on industrializing and democratizing forecasting data across the department.
CONTRIBUTIONS AND RESPONSIBILITIES
- Successfully handed over the IBP forecasting algorithm to the internal Data Science team.
- Served as the business owner for the internal forecasting process.
- Increased the scope and breadth of datasets ingested locally and made available in the reporting layer.
- Acted as Data Lead and subject matter expert on the logistics data ingestion roadmap: defining priorities and co-authoring data analysis documents for IT.
- DelhaizeData and forecasting managerRETAIL (LARGE RETAILERS)May 2021 - October 2023 (2 years and 5 months)Zellik, BelgiumDeveloped new forecasting capabilities for the Sales and Operations Planning (S&OP) process, creating the underlying data infrastructure and predictive models.
CONTRIBUTIONS AND RESPONSIBILITIES
- Developed and deployed an AI/ML-based time series forecasting algorithm, significantly improving speed, accuracy, and granularity.
- Designed and managed the end-to-end ETL pipeline and orchestration scripts (Python).
- Administered the PowerBI Premium environment, transforming complex forecast outputs into industrialized reports for stakeholders.
- Automated processes using Microsoft Power Automate.
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Education
- Python Essential Training Introduction to Python Introduction to Data VisualizationSeabornPython Essential Training Introduction to Python Introduction to Data Visualization
- Introduction to Importing Data in Python Learning Git and GitHubIntroduction to Importing Data in Python Learning Git and GitHub
Certifications
- Postgraduate Studies in Big Data and Analytics in Business and ManagementKU Leuven2021