💼 Professional experience
Agilytic
Since 2023
Data Architect / Governance Expert
Designing and supervising the deployment of data platforms for BI and AI use cases in the retail and media sectors
Technologies: GCP, Azure, python, PySpark, SQL
BearingPoint (4 years)
Role: Data & Analytics Manager
Consultancy in Data science, engineering, strategy & governance.
NOS (Portugal) (1 year)
Role: Team Lead, Data & Governance Architect
Via Bearing Point
Strategic support for the new Data Office. Organizational transformation of the company towards a data mesh. Collaboration with stakeholders in defining the data roadmap and the new target operating model. Deployment and adaptation of a data catalog in collaboration with Google (Collibra). Implementation of a governance framework covering access, quality, compliance and security. Integration of GDPR requirements within processes and technologies. Definition of the cloud migration strategy. Change strategy to ensure adoption and a smooth transition to the new standards
TotalEnergies (3 years)
Role: Data Strategy, Architecture & Program management
Via Bearing Point
- Definition and execution of the strategy for the UNISOL program. The UNISOL program manages ERP systems (SAP) for all subsidiaries, spanning over 30 countries and serving more than 20,000 users.
- Reorganize the data engineering approach & teams.
- Implementation of a new tooling and framework for migrations covering the finance, contracts & procurement, plant maintenance & logistics domains.
- Migrated 10 Affiliates successfully using the new approach.
- Reduction of blackout periods by more than 50%. From 6 weeks to 2 weeks. (which operationally hinders Affiliates).
- Creation of a Data Quality service offering with over 200 reports available to Affiliates and support during the change process.
- Implementation of data governance for master data shared across countries, deduplication, and target operating model.
Stena Group (4 months)
Role: Data architect & Governance Lead.
Via Bearing Point
Responsibility: Architecture of the Microsoft Azure Data platform. Blueprint of new data group Azure platform + data governance stack using Microsoft Azure. Help in tools selection and deployment.
BNP Paribas / Cetelem (France) (6 months)
Role : Data strategy & governance expert
Via Bearing Point
Strategic support in the creation of the data office. Definition of roles and responsibilities for data teams. Assistance in the transformation of data teams. Breaking down the barrier between business and IT. Definition of goals and roadmap for governance teams. Evaluation of the impact of a data mesh approach within the company. Support in defining the central technical architecture.
Proximus (1 year)
Role: Data Architect & Governance Lead.
Responsibility: Move to Cloud Azure. Data governance definition and integration for Azure components using Microsoft Azure, Collibra, Purview.
AXA (Data Engineering, Platforms Manager & Datalab Lead)
Data Engineering Manager (3 years)
Definition of AXA Belgium's data strategy. Management of the roadmap for all data projects within the company. Creation and lead of a central data engineering team (>20 people) with the objective of facilitating and accelerating the put into production of complex data projects using cutting-edge technologies. Framing and harmonizing reporting, analytics, machine learning, and operational projects in terms of architecture, data governance, and security. Ensuring the quality and maintainability of use cases in production. Centralization and facilitation of access to data for all users within the company.
- Managed successfully an awesome team of 25 Data engineers/scientists.
- Design and deployment of on-premise Datalake + Ingestion of all operational and legacy systems in real-time with CDC.
- Enable and accelerate put into production of advance data projects.
- Deployment of platforms for data science, actuaries, BI, and operational use cases.
- Development and deployment of over 20 use cases covering all areas of the company, including finance, marketing, sales, HR, pricing, logistics, and more
- Broke silos by centralizing all the data (>20 systems) of the company in near real time and opened a new scope of potential data project.
- Reduced access to data process from a week/month to one hour.
Datalab Lead (2 years)
Establishment of the Datalab to accelerate the adoption of new big data and artificial intelligence technologies. Execution of innovative cross-domain projects within the company. Application of agile approaches and methodologies in a corporate environment. Building technical and organizational foundations to facilitate the use of disruptive technology. Creation and facilitation of a data community within AXA. Definition of a coherent and progressive roadmap for business use cases. “Development of tools for the business.”
- Bring agility principles, test and learn approach in a Waterfall company.
- Created a core Data science team and a broader community around data.
- Developed Multiple POC, datamart, applications and reporting within all Domains.
- Introduced machine learning, distributed computing, HDFS & NOSQL databases in IT Architecture.
Tevizz Startup (2 years)
Role: Data Scientist / Prototyper
Responsibility: Developed tools for real-time analysis of social media (Instagram, Facebook, Twitter) trends detection, sentiment analysis, and enrichment. Created a second screen app for the Champions League.
Technical Stack: Python, Node.js, Angular, AWS, S3, MongoDB, Elastic Search.
ING (4 months)
Role: Technical Advisor
Responsibility: Deployment of the logging and monitoring stack (Elasticsearch, Logstash, Kibana) for the Homebank app.
LaPrairie (3 months)
Role: Data Scientist
Responsibility: Customer segmentation, upsell strategy using Pandas, Scikit-learn.
OPTIC2000 (4 months)
Role: Data Scientist
Responsibility: Shop segmentation, shop improvement strategy, next best action using Pandas, Scikit-learn.
Schneider Electric
Responsibility: Data governance advisory, data cataloging, data access process using Collibra.
Lansweeper (6 months)
Role: Management
Responsibility: Data quality stream implementation, anomaly detection for the marketing department using Snowflake, Salesforce, SQL, Soda, DBT.
ArgenX
Responsibility: Data strategy advisory using Snowflake.
CEMUBAC NGO (6 months)
Role: Internship - Health management in Congo
Responsibility: Full development of an app to manage the Medical file using Python Django.
🦾 Certifications, trainings
Methodologies
Agile, Scrum, Kanban, Lean, Devops, Waterfall
Project Management : JIRA, Central Agile, Trello, ASANA, MS-project...
Tools
Cloud: Azure / AWS / GCP
OS: Windows / OsX / Linux.
Python, pandas, NLTK, scikit-learn, pytorch, Django, jupyterlab, databricks
Distributed systems: Pyspark, HDFS + cloudera ecosystem, S3, sagemaker
Data Viz : D3js, PowerBI, Tableau, Qlik, SAS.
RDBMS: PostgreSQL, MS SQL, Teradata, Oracle, Db2, Athena Redshift,..
Other DBs: Mongodb, ElasticSearch, Neo4j, Cassandra, Hbase, Redis,...
Bus & CDC : Kafka, rabbitMQ, flume, Attunity
Encryption: Protegrity
Logging : Elastic, logstash, Kibana.
CI/CD : Git, jenkins, Docker, kubernetes
web : Django, nodejs, Angularjs,
Data Governance: Collibra, purview, Atlas, DataGalaxy, Informatica
CRM : Salesforce, microsoft CRM
ERP : SAP
🎓 Academic credentials
- Master in Computer Sciences ULB Algorithmic & machine learning.
- Bachelor Bioinformatic ULB
🇺🇳 Languages
🇫🇷 French: Native
🇬🇧 English: fluent
🔐 Proprietary and confidential. 💡 Profile CVs are provided for illustration purposes. ✅ Planning of specific experts will be secured upon formal agreement.
