Freelancer profile translated to English.
Back to original languageAbout Tim
Do you have data to leverage but not the infrastructure to do so? I design and deliver complete data solutions on Google Cloud Platform, from ingestion to dashboard, within a clear and no-surprise fixed-price framework.
After 3 years at L'Oréal and assignments at Deezer and Bureau Vallée, I learned to build pipelines that work in production: reliable, documented, maintainable by your teams.
What I have delivered concretely:
⚡ 70% reduction in processing time for high-volume API call pipelines
🔁 Refactoring of Airflow workflows to eliminate bottlenecks and silent failures
📦 Implementation of end-to-end GCP pipelines with automated Terraform + CI/CD deployment
🛍️ For a clothing retailer: complete sales monitoring platform, automated customer follow-up, prospecting, and dashboarding, a single point of contact, a turnkey project delivered
My scope of intervention:
Data ingestion & transformation (Dataflow, Pub/Sub, dbt, SQL)
High-performance storage & querying (BigQuery)
Orchestration (Airflow, Cloud Functions)
Infrastructure as Code (Terraform) and CI/CD (Cloud Build, Git)
Visualization and reporting (Power BI)
I work on a fixed-price basis: we define the need together, I deliver, you take control. No time-and-materials, no ambiguity.
👉 Interested in AI applied to data, I am actively monitoring LLM uses for automation and data valorization.
French
Native or bilingual
English
Native or bilingual
Chinese
Basic
Can work on-site
Paris (up to 50km), Paris (up to 10km)
Experience
- HIPPOCAMPEFull-Stack & Data Engineer — Design of a decision-making monitoring platform (GCP)RETAIL (SMALL BUSINESS)March 2026 - May 2026 (2 months)Paris, France
Architecture Description
▎ End-to-enddesign and developmentof anoperational monitoring dashboardfor amulti-storetextile wholesaler (3 brands), from data ingestion to decision-making visualization.Cloud-nativearchitecture on **Google Cloud Platform (GCP)**, structured as a complete **analytical pipeline**:Frontend
Next.js 15/React/TypeScript (Tailwind CSS)application — 14 business modules: RFM **customer segmentation**, **churn prediction**, **sales geographic mapping (Plotly / choropleth)**, **stock tracking**, **seasonal performance**, **payment tracking**, and **sales prospecting**.Backend
FastAPI (Python)API exposingbusiness KPIs**, with **TTL cacheandJWT authentication/ **service account**.Data Pipeline (ELT)
Daily ingestionofCSVfiles fromCloud StorageintoBigQuery**, then **transformationinto modeled layers viadbt(raw→staging→ **data marts**).Enrichmentby cross-referencing with theSIRENE/INSEEdatabase for targetedprospectingbyNAF codeand geography.Infrastructure as Code
Complete provisioning viaTerraform**: **Cloud Run(services + jobs),Cloud Scheduler(cron orchestration), **Secret Manager**, **BigQuery datasets**, **IAM**.CI/CD
Google Cloud Buildtriggered on push: parallelizedDocker build(API, frontend, ingestion, dbt) andautomated deploymenton **Cloud Run**.Data Flow
EBPCSV/ SIRENE →GCS→BigQuery(raw) →dbt(dwh/dtm) →FastAPI→Next.js - L'OréalData EngineerFASHION AND COSMETICSFebruary 2022 - Today (4 years and 6 months)St.-Ouen, FranceCross-functional intervention withinL'Oréal's datateams across the entiredata lifecycle**, from **cloud infrastructureto **production deployment**.
Infrastructure & Cloud
Designanddeployment of GCP infrastructureswithTerraform**, implementation of **CI/CD pipelinesviaCloud Build**, and environment management via **Git**. **Deploymentofcontainerized serviceson **Cloud Run**.Orchestration & Workflows
Design andoptimization of complex Airflow workflows**: **refactoring of critical DAGs**, **reduction of processing timeson high-volume API call pipelines, elimination of silent failure points.Development & APIs
Development of data processing and exposure APIs**, integrated into **modularand **maintainable data architectures**.Quality & Modeling
Data analysisandpreparation**, implementation of **quality controlsandmodelingto ensure the reliability of production flows. - DEEZERData EngineerENTERTAINMENT AND LEISURENovember 2021 - March 2022 (4 months)Paris, France- Hadoop to GCP migration- Data export- Development, code review- Data Quality
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Education
- Master of EngineeringEPITA: Computer Engineering School2021Master of Engineering - MEng, Data Science and Artificial Intelligence
- Computer ScienceBeijing Institute of TechnologyComputer Science