Description

Data Architect with extensive experience designing and delivering cloud‑based data platforms across AWS, Azure, and Snowflake. I help organizations structure, ingest, govern, and operationalize their data by combining strong technical expertise with a clear understanding of business needs. I work end‑to‑end—from requirements gathering and architectural design to pipeline implementation, governance, security, and CI/CD automation—ensuring scalable, reliable, and future‑proof data solutions.

Domaines d’expertise

Langues

Français
Bilingue ou natif
Anglais
Bilingue ou natif
Arabe
Bilingue ou natif

Préférences en matière de lieu de travail

Accepte de travailler sur site

Lyon (jusqu’à 50 km), Paris (jusqu’à 50 km), Genève (jusqu’à 50 km)

Wolters Kluwer ESG Division.
Data Architect
ENVIRONNEMENT
janvier 2022 - Aujourd'hui (4 ans et 6 mois)
Paris, France
• • Participate in business discussion to establish a high-level roadmap and use cases.
• • Clarify business needs and requirements.
• • Design the data platform components, data lake, data ingestion and storage strategy.
• • Design and implementation of data pipelines, data warehouse layering, orchestration and governance (Events Hub, Blob Containers, Function Apps, Snowflake).
• • Supervise data modeling and metadata driven patterns implementation (Canonical Model).
• • Help building multi tenancy registry and multitenant deployments (IAC, Pulumi, Terraform).
• • Expose APIs for data ingestion and data consumption (APIM, Functions, WAF).
• • Define and deploy infrastructure using CI/CD with Pulumi/Terraform and GitHub Actions.
• • Benchmark tools for metadata management, data lineage and ETL process.
Microsoft Azure Snowflake Data Governance DevOps Architecture Data
Implicity: Remote Cardiac Monitoring.
Data Architect
SECTEUR MÉDICAL
janvier 2019 - janvier 2022 (3 ans)
Paris, France
Design and implement R&D Data Platform (AWS: S3, EMR, RDS, IAM, EC2, Lambda)
. Design of a data platform dedicated for data scientists.
• Implementing batch data ingestion processes for R&D teams and external partners using Scala, Spark SQL, EC2/Bash, and RDS.
• Implement data governance and security strategies
• Implementing data anonymization process.
• Setup streaming data ingestion with Spark Streaming (EMR/Glue), Scala, and Kafka (AWS MSK).
• Establishing data management strategies including data lineage, security and audit processes using IAM, EC2, Ranger, and RDS.
Architecture SI Amazon Web Services Data Governance DataOps Data Warehousing
Finaxys
Data Architect
BANQUE & ASSURANCES
janvier 2018 - janvier 2019 (1 an)
Paris, France
• • Leading technical workshops and gathering detailed requirements from business stakeholders, ensuring alignment with enterprise data strategies.
• • Translating business requirements into technical specifications.
• • Architecting and designing scalable and resilient data architectures for Data scientist and IA purposes.
• • Developing and executing POCs to validate technical solutions for business use cases.
• • Coordinating maintenance and implementation tasks of Data tools with Ops teams.
• • Authoring comprehensive user guides for the Data Lab.
• • Implementing security protocols and configuring LDAP/Kerberos.
Architecture Data Amazon Web Services Data Governance Data Engineer