Freelancer profile translated to English.
Back to original languageAbout Pierre-Arnaud
Do you have data, but not yet a real data strategy?
I act as a Lead Data Engineer and Data Architect to structure, modernize, and make your data infrastructure reliable — from technical design to team management.
What I bring concretely:
In 13 years of experience, I have supported scale-ups, mid-sized companies, and industrial SMEs on high-impact data projects:
→ GCP to AWS Migration (scale-up, 200 people): target architecture, management of a team of 4 engineers, creation and optimization of large-scale Spark jobs, go-live in 8 months.
→ Business process automation for a mid-sized company: Python + BigQuery, estimated gain of 1 to 2 FTEs, immediate ROI.
→ Modernization of a legacy SQL for an SME: new DBT / DLT / Python stack, improved performance.
My advantage: I cover both architecture AND management. Where an architect, a lead dev, and a project manager are often needed, I handle all three roles. Result: projects delivered faster, with less friction, and a controlled budget.
Stack: Python, SQL, Spark, PySpark, Airflow, DBT, DLT, BigQuery, PostgreSQL, AWS, GCP, Terraform, Docker, Kubernetes (CKAD certified), CI/CD, FastAPI, Nifi, Ansible.
Based in Montpellier, available hybrid or full remote. Immediate start.
French
Native or bilingual
English
Native or bilingual
Can work on-site
Montpellier (up to 40km), Toulouse (up to 10km), Avignon (up to 10km), Nîmes (up to 10km), Paris (up to 10km)
Experience
- StudiData EngineerCONSULTING AND AUDITSJune 2025 - January 2026 (7 months)Montpellier, FranceSituation: Mid-sized company in the training sector, facing time-consuming manual business processes involving several full-time employees.Tasks: Design and deploy a complete automation solution to eliminate recurring manual data processing.Actions:- Audit of existing processes and identification of high ROI automation points.- Development of Python ETL pipelines with orchestration on BigQuery.- Containerization of processes with Docker to ensure reproducibility.- Go-live and documentation for internal team autonomy.Results: Estimated gain of 1 to 2 FTEs on automated processes.
- DorianeData EngineerSOFTWARE PUBLISHINGJanuary 2025 - June 2025 (5 months)Nice, FranceSituation: Agricultural software publisher whose application storage was based on a NoSQL system that had become limiting in terms of queryability and maintenance.Tasks: Migrate and modernize the entire application storage to a relational SQL architecture, without service interruption.Actions:- Audit of the existing data model and design of the new relational schema.- Complete refactoring using DBT and DLT: 15+ data sources, 30+ tables migrated.- Technical scoping and architecture choices in collaboration with the CTO.- Python development of migration scripts and data validation.- Progressive go-live on PostgreSQL with non-regression testing.Results: Complete migration delivered in 5 months. Query time divided by 10 for common operations. Data model documented and maintainable by the internal team.
- MeilleursAgents (groupe SeLoger)Lead Data EngineerREAL ESTATEJanuary 2023 - December 2024 (1 year and 11 months)Paris, FranceSituation: Real estate scale-up of 200 people whose data processing platform needed to migrate from GCP to AWS, while maintaining service continuity on critical volumes (+100M rows).Tasks: Lead the end-to-end cloud migration and structure the data architecture for the data acquisition domain.Actions:- Definition of the technical roadmap and target architecture choices on AWS.- Management of a team of 4 engineers: task assignment, code reviews, coordination with product teams.- Complete refactoring of Spark pipelines and underlying infrastructure (GCP → AWS).- Implementation of CI/CD (CircleCI/Jenkins) and real-time monitoring (DataDog).- Direct technical reporting to the CTO on progress and risks.Results: Migration delivered in 8 months, zero service interruption. CI/CD coverage. Operational monitoring with production alerting.
Reviews
E
Eddy
HelloAsso
Reviewed on 1/23/2023
Pierre-Arnaud was able to provide us with detailed knowledge of Spark (RDD, UDF, cache functioning...) to help us better understand Spark and ultimately improve our tools. Additionally, he suggested areas for improvement that we were able to implement with his help.
Augustin
Accenture
Reviewed on 9/15/2022
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Education
- Master's in Big Data ValorizationENSEEIHT2019
- Process and Computer EngineeringENSIACET2013
Certifications
- CKADLinux Foundation2022
- Lean 6 SigmaIAC2017