Freelancer profile translated to English.
Back to original languageAbout Marouane
Passionate Cloud Data Engineer with deep expertise in AWS architecture, Snowflake/DBT, and GenAI solutions. Specializing in transforming complex data infrastructures into scalable, cost-effective, and high-performing solutions.
At Safran, I delivered projects reducing operational costs by up to -60% while significantly improving system performance and reliability.
My Expertise:
- Cloud & Data Warehouse Architecture
- Data Engineering & ETL
Key Achievements:
- Safran Aero Boosters: GenAI Chatbot finalist at the Safran Innovation Awards (+30% response speed)
- Airbus: RAG model reducing manual review time by 40% and improving accuracy by 30%
- Enedis: Predictive models reducing power outages by 20%
- IUCT Oncopole: Deep learning pipeline achieving 92% accuracy in medical segmentation
How I can help you:
- Cloud Architecture: Design and deploy performant AWS/Snowflake infrastructures
- Data Modernization: Migrate your systems to modern cloud architectures
- GenAI Solutions: Develop AI chatbots and assistants for your business
- Data Engineering: Automate your ETL pipelines and optimize your data workflows
French
Native or bilingual
English
Fluent
Can work on-site
Toulouse (up to 30km)
Experience
- Extia (at Safran Aero Booster)Cloud Data EngineerAVIATION AND AEROSPACEMarch 2025 - Today (1 year and 3 months)Liege, Belgium
- Designed and deployed AWS to Snowflake architectures, reducing operational costs by 25%
- Developed a comprehensive staging layer with DBT, ensuring data quality and transformation traceability
- Automated data pipelines with Terraform (IaC), enabling 100% reproducible deployments (-40% configuration time)
- Migrated batch orchestration from Airflow to AWS Step Functions (-60% operational costs)
- Developed and maintained a GenAI-powered chatbot with a Graph RAG architecture, a finalist at the Safran Innovation Awards (+30% response speed)
- AirbusData ScientistAVIATION AND AEROSPACESeptember 2023 - September 2024 (1 year)Toulouse, France
- Built ETL pipelines centralizing non-conformity data in AWS, developed LLM + RAG models for automated summarization (-40% manual review time)
- Deployed an RAG model in production with a feedback system, improving problem resolution accuracy by 30% and accelerating validation by 25%
- Created automated pipelines visualizing data in Skywise (Airbus data platform), enabling rapid incident response
- Applied K-means clustering to group defects into actionable insights and developed an ML model to predict aircraft affected by non-conformities
- Optimized production databases, reducing query latency by 39% while managing over 2M daily records
- EnedisData AnalystENERGY AND UTILITIESSeptember 2022 - September 2023 (1 year)Toulouse, France
- Improved pruning algorithms and network data to build predictive models reducing power outages by 20%
- Developed real-time monitoring dashboards enabling operational teams to react 2x faster to critical incidents
- Provided advanced training in data literacy and analytics to over 50 employees, fostering a data-driven culture
- Aligned data architecture and governance strategies with business objectives, resulting in more efficient data-to-decision workflows
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Education
- Master MIAGE IDAUniversité Toulouse Capitole
- Licence MIAGEUniversité Toulouse Capitole2022
Certifications
- AWS Certified Data EngineerAWS2025