Freelancer profile translated to English.
Back to original languageAbout Teddy
I design and deploy data platforms and SaaS applications on Google Cloud, transforming complex business needs into concrete, actionable tools.
My approach is product-oriented: I don't just develop pipelines or backend services, but solutions directly used by teams (APIs, dashboards, automations).
I work on projects where:
• data is complex or dispersed
• business stakes are high (operations, marketing, supply chain…)
• reliability and rapid deployment are critical
What I design and deliver:
• scalable data platforms (BigQuery, pipelines, orchestration)
• SaaS applications (backend, business logic, APIs)
• business process automation
Examples of achievements:
• multi-source data platform (marketing & product)
• complete SaaS platform for property management (bookings, payments, automation)
• data systems for retail, supply chain, and governance
Main Stack: GCP, Python, BigQuery, Cloud Run, Workflows, Terraform
I work on a fixed-price basis for high-value projects (€15k – €40k+) or provide consulting on architecture and delivery challenges.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- Exploitation de logementsSaaS PlatformREAL ESTATEOctober 2025 - Today (8 months)Paris, FranceDesign and development of a complete SaaS platform for short and medium-term property rentals.• Coverage of business needs: catalog, bookings, calendar synchronization, payments, field operations• Design of a secure and scalable distributed cloud architecture• Integration of external systems (payment, notifications, IoT)• Development of internal tools (backoffice, workflow automation)Result: a directly usable platform for automating and managing daily operations.
- NDAData ArchitectLUXURY GOODSApril 2025 - September 2025 (5 months)Paris, FranceDesign of a multi-source data platform on Google Cloud to centralize and leverage marketing and product data.• Definition of a scalable architecture (medallion model, BigQuery)• Implementation of batch pipelines and orchestration• Integration and normalization of heterogeneous sources• Implementation of security foundations (IAM, access)Result: a reliable and usable data foundation, ready for industrialization.
- L'Oréal - OpérationSenior Google Cloud DataOpsLUXURY GOODSApril 2024 - March 2025 (10 months)Clichy, FranceDevelopment of a customer review data platform to generate product and retail insights.• Redesign of storage and search architecture (MongoDB Atlas)• Implementation of data and ML pipelines (Vertex AI, Kubeflow)• Optimization of processing via incremental models• CI/CD and infrastructure automation (Terraform)Result: improved performance, reduced costs, and simplified architecture.
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Education
- Master's degree in Computer Science, Computer ScienceESIAG - Paris East School of Engineering2015Master en informatique, Informatique
- 3rd year Bachelor's degree in MIAGE, Computer EngineeringESIAG - Paris East School of Engineering2013Licence 3 miage, Ingénierie informatique
Certifications
- Associate Cloud EngineerGoogle2021