About Raphael
I’m a passionate Data Engineer with a knack for turning complex data challenges into scalable and efficient data solutions. With a foundation in computer science and extensive experience in the fast-paced world of tech, I specialize in designing, building, and maintaining robust data pipelines that empower businesses to make data-driven decisions.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km), Bordeaux (up to 20km)
Experience
- ORANGEData Engineer GCPTELECOMMUNICATIONSNovember 2024 - Today (1 year and 7 months)Bordeaux, FranceOrange is a leading global telecommunications operator offering mobile, internet, and digital services across Europe, Africa, and the Middle East. The company is recognized for its strong network quality, innovation, and customer-focused digital solutions.The goal of my mission at Orange is to carry out a migration from the Cloudera platform to Google Cloud Platform, and implement new use cases.➤ Designing and managing data pipelines on GCP :- Data transformation & modeling : implementation of Bronze, Silver and Gold data layers using DBT to ensure clean, structured, and analytics-ready data.- Access & Infrastructure Management : usage of Terraform to define and automate secure access controls and infrastructure as code.- Workflow & orchestration : usage of Airflow to schedule and orchestrate workflow through python scripts.- Continuous Deployment & Automation: Implementing CI/CD pipelines with GitLab to automate testing, deployment, and ensure smooth integration of changes.➤ DataOps & DevOps practices :- Integrating security scanners for all Docker images to strengthen the platform’s security posture.- Optimizing deployment pipelines with custom base images stored in GitLab’s container registry, reducing build time and improving reliability.- Applying a GreenOps approach by reducing the number of stages in pipelines to lower execution time and resource consumption.➤ Migration of existing use case :- Transitioning PySpark scripts to Dataproc Serverless.- Converting SQL scripts to DBT for better modularity and maintainability.- Enhancing data validation with Google’s Data Validation Tool to ensure data integrity and quality.
- Groupe Sud OuestData Engineer GCPPRESS AND MEDIAAugust 2023 - November 2024 (1 year and 2 months)Bordeaux, FranceSud Ouest is a leading independent regional media group in south-western France, operating daily newspapers, TV, digital platforms, and events.The main goal of my mission at Groupe Sud Ouest is to implement a robust data platform on GCP.➤ Designing and orchestrating data pipelines on GCP :- Developed Python scripts for extracting data from various sources (APIs, databases, files, etc.)- Implemented ETL/ELT processes to load data into Cloud Storage and ingest it into BigQuery- Fully orchestrated data pipelines using Cloud Composer (Airflow), ensuring automation and synchronization of all processing steps➤ Data modeling and analytics optimization :- Leveraged Dataform to transform, aggregate, and model data in BigQuery, creating data marts tailored to business needs- Optimized data pipelines to ensure high performance and robustness for large-scale data processing- Monitored and maintained orchestration workflows to guarantee continuous quality and reliability of analytical processes➤ Provision of QlikSense (or Data Studio/Looker Studio) reporting tool for business use:- Design of the data model specific to the dashboard- Data loading via SQL queries- Dashboard development, followed by delivery to the business- Automation of report
- TehtrisData EngineerSOFTWARE PUBLISHINGOctober 2021 - May 2023 (1 year and 7 months)Bordeaux, France➤ Design in Python of a tool to apply configurations on Elasticsearch/Kibana in an automated way :- Deployment and configuration of an Elasticsearch/Kibana cluster: starting services, managing ports, user rights, etc.- Deployment of configurations on Elasticsearch: index templates, component templates, pipelines, etc.- Deployment of configurations on Kibana: visualizations, dashboards.➤ Management of a non-relational Elasticsearch database :- Data ingestion, organized storage via indexes- Data processing with Elasticsearch pipelines- Field formatting with component templates- Data retention management with ilm- Cluster node management based on the amount of data➤ Creation and optimization of data visualization tools (dashboards, visualizations) on Kibana :- Creation of visualizations/dashboards of all types (pie chart, vertical bar, data table, etc.)- Optimization of dashboards to improve loading times (data aggregation with the rollup tool)
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Education
- Diplôme d'ingénieur, Ingénierie informatiqueENSEIRB-MATMECA2021Diplôme d'ingénieur de l'ENSEIRB-MATMECA (rang A+), filière Informatique. Spécialisé de 3ème année en Calcul Intensif et Science de Données
- Classes préparatoires aux grandes écoles (CPGE), PCLycée Saliège2018Classes préparatoires aux grandes écoles (CPGE), PC*