About Raphael
Data Engineer and Scientist with a strong background in mathematics and software development. Experienced in deploying and managing large-scale production projects across the entire data chain. Proficient in cloud architectures, data workflows, and machine learning. Proven ability to lead teams and drive innovation in AI solutions. Eager to bridge the gap between business needs and practical solutions, with a focus on building robust, scalable, and efficient data systems.
French
Native or bilingual
Spanish
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km), Paris 6e Arrondissement (up to 100km), Bordeaux (up to 100km)
Experience
- FreelanceData/ML/Ops Engineer - FreelanceNovember 2019 - Today (6 years and 7 months)Paris Metropolitan Area, FranceAs a freelance Data Engineer, DataOps, and ML Engineer, I design and implement robust, scalable data and ML solutions:• Data Architecture: Design and implement cloud-native data architectures tailored to client needs• Data Engineering: Develop end-to-end data pipelines for efficient data collection, cleaning, transformation, and monitoring• DataOps: Implement CI/CD pipelines, automate data workflows, and ensure data quality and governance• Cloud Migration: Guide clients through cloud adoption strategies and implement hybrid/multi-cloud solutions• Performance Optimization: Tune databases, optimize queries, and enhance system performance• Data Security: Implement data protection measures and ensure compliance with regulations• Big Data Technologies: Leverage distributed computing frameworks for large scale data processing• Machine Learning Operations (MLOps): Design and implement infrastructure for ML model deployment and monitoring• ML Solution Deployment: Interface and deploy advanced ML solutions, including LLM and RAG systems Tools and Technologies:• Cloud Platforms: AWS, GCP, Azure• Containers and Orchestration: Docker, Kubernetes• Data Processing: Apache Spark, Kafka, Airflow• Databases: PostgreSQL, MongoDB, Cassandra• Programming: Python, SQL, Scala• BI and Analytics: Tableau, Power BI, Looker• Infrastructure as Code: Terraform• ML Frameworks: TensorFlow, PyTorch, Hugging Face
- Sorbonne UniversitySubstitute TeacherSeptember 2019 - Today (6 years and 9 months)Paris, FranceI lead the comprehensive Practical Data Science course within the MSC Statistics & Data Science program at LPSM - Pierre and Marie Curie/Sorbonne University. This course covers the complete data science practice, equipping students with essential skills to transform raw data into concrete solutions. Key topics of the course include:• Work environments and version control with Git and Docker• Data preparation and visualization• Hyperparameter optimization and model selection• Deep learning fundamentals and applications in image and text processing• Recommender systems• Generative models• Fundamentals of reinforcement learning Course materials available at: https://www.raphaelcousin.com/
- FlowlityLead Data EngineerSeptember 2020 - August 2023 (2 years and 11 months)Paris, FranceLed the development and management of the data infrastructure for a rapidly growing supply chain stock management SaaS product:• Scaled the platform from handling hundreds of items to over 1 million items, ensuring performance and reliability• Deployed and managed Airflow on Kubernetes, orchestrating complex data pipelines for ingestion, transformation, machine learning predictions, and constraint optimization• Collaborated with cross-functional teams (product, research, client) to integrate data solutions and deliver insights• Monitored and managed hundreds of Airflow DAGs daily, overseeing thousands of running pods and processing over 100 million daily integrations rows (thousands of files)• Optimized PostgreSQL data warehouse models, queries and configurations, significantly reducing Azure costs and processing times• Implemented Azure IAM and deployment strategies to ensure secure and efficient cloud resource management• Migrated from Python ETL to a comprehensive dbt ELT approach, enhancing data quality, governance, and reducing integration errors• Mastered supply chain CRM processes and developed custom SAP templates to streamline integrations• Led a data team of up to 4 people, organizing sprints and fostering a culture of continuous improvement• Actively participated in recruitment processes, helping to build a high performing data team
Reviews
Recommendations
These freelancer profiles also match your criteria
Agatha Frydrych
Backend Java Software Engineer
4.7
(3)
2
Baptiste Duhen
Fullstack developer
4.6
(4)
5
Amed Hamou
Senior Lead Developer
4
(2)
7
Audrey Champion
Web developer
4.3
(3)
4
Education
- Master mathématiquesSorbonne université2019
- LVL 14École 422017