About Jamal
Data, Cloud & AI specialist with combined technical expertise and business knowledge gained from 12 years in IT Consultancy, including 10 years working on data projects.
I helped clients build modern data platforms, led cross-functional teams, and established data governance frameworks that deliver impactful business results.
Ready to bring my experience to new clients looking to advance their data, cloud, and AI initiatives.
•Data Architecture •Cloud Architecture •Data Engineering • Data Governance • MLOps / AI Architecture • Generative AI • GenAI / IAGen • Technical Project Management
- AWS - GCP - Azure - Snowflake - Dataiku - Databricks - SAP - Oracle - Teradata
• Effective Communication • Leadership & Team Collaboration • Problem Solving & Critical Thinking • Adaptability & Continuous Learning
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km), Bordeaux (up to 50km), Lille (up to 50km), Toulouse (up to 50km), Lyon (up to 50km)
Experience
- FreelanceLead Data, Cloud & AI ArchitectJanuary 2025 - Today (1 year and 5 months)
- Architected modern data platform solutions using Data Mesh framework for enterprise clients, enabling domain teams to own and self-serve data assets while maintaining federated governance and security standards.
- Led GenAI adoption projects for multiple clients, designing production ML applications while coaching teams on responsible AI practices.
- SafranLead Data & Cloud ArchitectAVIATION AND AEROSPACEMarch 2024 - December 2024 (9 months)France
- Assisted group entities in the design and deployment of their data platforms, based on modern data stack architectures and data mesh framework.
- Contributed to the development of the group-wide data strategy and governance policies to support consistency, quality, and compliance.
- Developed central data governance platform using Amazon Datazone and collaborated with AWS to provide feedback and solve product issues.
- Supported the GenAI acceleration program, helping group entities design, develop, and roll out their generative AI use cases and applications.
- Air LiquideData & Cloud Tech LeadCHEMICALJune 2021 - December 2023 (2 years and 6 months)Paris, France
- Led two data engineering teams in delivering complex data integration and transformation projects across multiple domains.
- Oversaw the technical delivery of a global data program spanning 4 regions, 20+ source systems, and a €100M+ budget, ensuring alignment with stakeholders through coordinated planning and execution.
- Drove data governance and data quality initiatives, and contributed to AWS DataHub to enhance data access, sharing, and user experience.
- Contributed to the data as a service initiative to offer data products access via APIs using APIGEE API.
- Developed solution for SAP S/4HANA data migration to manage data model changes.
- Assumed Project Manager duties for key projects, overseeing budgeting, detailed planning, and overall project delivery with sponsors and senior management.
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Education
- Master of ScienceParis Cité UniversityMachine Learning & Data Science
- Master's DegreeIbn Tofail Kenitra UniversityCloud & Big Data
Certifications
- AI Product Manager ProfessionalMicrosoft2025
- Generative AI Applications ProfessionalAWS2025