Project information
A scalable, compliant data platform optimised for collaboration.
- Data engineering
- L’Oréal
- May 2, 2023
- Paris, Île-de-France, France
L'Oréal – GCP Cloud Engineering
L'Oréal wanted to enhance the security and flexibility of its data platforms while facilitating their large-scale deployment. The project involved designing a centralised PaaS platform on Google Cloud, capable of hosting several internal teams in an automated, compliant and unified environment.
This approach improved access governance, strengthened cybersecurity and standardised DevOps practices within the group.
Project challenges
Unify and secure multi-cloud management.
- Integrate Azure AD and GCP IAM for identity federation
- Ensure access compliance and traceability
- Ensure infrastructure scalability for multiple teams
- Automate environment creation and maintenance
Solutions and results
Full automation and secure integration on Google Cloud.
- Development of internal APIs with FastAPI and Flask for provisioning
- Infrastructure automation via Terraform and GCP Workflows
- Identity federation between Azure AD and GCP IAM
- Orchestration of data workflows on BigQuery, Cloud SQL, and Firestore
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