💼 Professional experience
Agilytic
Senior Data/Devops Engineer - freelance Since 2023
- Lakehouse on Azure Databricks at Ardennes Etape SA
- Elasticsearch on Kubernetes cluster at MINTT SA
Technologies : Microsoft Azure, MS SQL Server, Azure Synapse, Azure Databricks, Azure SQL Warehouse, ADLS Gen 2, Azure DevOps, Apache Spark 3, Python 3, Java 11, Kafka Confluent, Kafka Connect, Kafka Schema Registry, Kubernetes, Open Shift, Elasticsearch Cloud Kubernetes, Docker, Jenkins
Business & Decision SA (Orange Business Service)
Senior Data / Devops Engineer 2019-2022
As Senior Consultant in Data & DevOps Engineering, specialized in Big Data in the cloud ecosystem, I was involved in several key projects:
- Set-Up of a Data Lake based on Cloudera Hadoop and hosted on Microsoft Azure (Infrastructure as a Service) at Carrefour Belgium SA
- Software engineering in the context of the Administration of the different services of the Hadoop cluster of Carrefour (HDFS, YARN, Kafka, Apache Spark, Apache Airflow) at Carrefour Belgium SA
- Development of Big Data Applications (Apache Spark) to feed a Data Warehouse on Cloudera Hadoop, as well as industrial applications to orchestrate marketing campaigns at Carrefour Belgium SA
- Development of REST API’s to expose Data to external users and applications, and deployment on Azure Kubernetes, at Carrefour Belgium SA
- Migration of the Data Lake, from Cloudera Hadoop to Google Cloud Platform, at Carrefour Belgium
- Software Engineering in the context of the monitoring of Applications related to the Data Lake of Carrefour Belgium, using an Elasticsearch cluster on Kubernetes
- Technical Lead of a team of Data Engineers in the context of Big Data Application developed in Python Spark at Danone France R&D
Technologies : Microsoft Azure, Active Directory (LDAP), Cloudera Hadoop 5, HDFS, YARN, Apache Kafka, Apache Spark 2.3, Apache Airflow, Mongo Db, Node.js, Python 2, Python 3, Java 8, Scala 2.12, Azure Kubernetes, Google Cloud Platform, Google Kubernetes Engine, Google Big Query, Google Big Table, Cloud Run, Elasticsearch, Kibana, Logstash, Docker, Gitlab CI
VOO (NETHYS SA)
Data Engineer/Scientist 2014-2017
As Data Miner working for a major player of the Belgian telecom industry, I was involved in 2 key projects:
- Development of a POC of Big Data Processing Solution of Audience Measuring System (logs sent every 7 seconds from TV setup boxes) on Hortonworks Hadoop
- Development & Production rollout of churn prediction models, including ETL & Machine Learning
Technologies: Hortonworks Hadoop, Apache Spark 1.6, Scala, JavaScript, MS SQL Server 2008 R2, Python 2, Python 3, Anatella, TIMi, R
🦾 Certifications, trainings
Methodologies
- Data Architecture, Data Modelling, Datawharehousing
- Software Engineering, Solutions Architecture, Cloud Engineering
- DevOps, Agile
Software & programming
- Data programming: Python, Java, Scala, Apache Spark, Hadoop, NodeJS, SQL, MongoDB
- Deployment : Docker, Azure Devops, GitlabCI, Kubernetes
- Data Technologies : ELK, Kafka, Azure Synapse, Google BigQuery, Airflow.
🎓 Academic credentials
- Master in risk management Université de Namur (UNamur) 2017
- Master in Information Management Université de Namur (UNamur) 2014
🇺🇳 Languages
🇫🇷 French: native
🇬🇧 English: professional proficiency
🔐 Proprietary and confidential. 💡 Profile CVs are provided for illustration purposes. ✅ Planning of specific experts will be secured upon formal agreement.