About Mohamed
- Python, Apache Spark, SQL
- Cloud data platforms: AWS, Snowflake, Redshift
- Data Engineering: Spark, Airflow, Kafka, dbt, Data Modeling
- DevOps & MLOps: Docker, GitLab CI/CD, Terraform, CloudFormation
- Machine Learning & NLP: LLMs (RAG, Transformers), PyTorch
- Mentorship & knowledge sharing: DeepLearning.AI mentor, YouTube/LinkedIn Live
- Knowledge Graphs: Neo4J, Cypher query language
- Designing and Implementing Industrial-Scale data platforms on AWS.
- Maintaining data platforms (pipelines, infrastructure) for existing platforms.
- Data Quality
- Creating/enriching/cleaning datasets.
- Training, validating, and testing ML models, and especially NLP models.
- Deploying and monitoring models in production.
- LLMs/RAG/Agentic AI
English
Fluent
French
Fluent
Arabic
Native or bilingual
Experience
- Sanofi AcceleratorSanofi Accelerator - Senior Data Engineer & AI EngineerHEALTH AND WELLNESSDecember 2025 - Today (7 months)Paris, FranceContext: Agentic AI automating procurement approvals and policy checks (AWS)Responsibilities:
- Engineered data foundations using Snowflake, dbt, and Airflow.
- Deployed data & RAG pipelines for the AI procurement agent.
- Air Liquide IT - GIO Département GDOAir Liquide - Tech Lead DataENERGY AND UTILITIESNovember 2022 - December 2025 (3 years and 1 month)Paris, FranceContext: Architected & deployed a data quality platform from scratch on AWSResponsibilities:
- Created IaC and CI/CD scripts, ETL pipelines, integration with Power BI, and Data Portal.
- Implemented DQ KPIs for Logistics, Procurement, and HR.
- Set up best practices for the DQ framework, adopted as the default pattern for three business units.
- Led a POC to migrate from data vault to dimensional modeling on dbt.
- Disneyland ParisDisneyland Paris - Senior Data & Machine Learning EngineerENTERTAINMENT AND LEISUREJune 2022 - November 2022 (5 months)Chessy, France
- Optimized the visits & stays pricing model for production.
- Migration from enterprise data warehouse towards a single unified cloud data platform (AWS S3, Glue, Snowflake).
- Developing and maintaining data pipelines and data models.
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Education
- Master of ScienceEcole Nationale Supérieure d'Informatique et de Mathématiques Appliquées de Grenoble2017M2 Masters of Science in Informatics at Grenoble (MOSIG), Data Science
- M1 Masters of Science in Informatics at Grenoble (MOSIG), Computer ScienceUniversité Grenoble Alpes2016M1 Masters of Science in Informatics at Grenoble (MOSIG), Computer Science
Certifications
- Data Engineering Professional CertificateDeepLearning.AI2025
- Retrieval Augmented Generation (RAG)DeepLearning.AI2025