Freelancer profile translated to English.
Back to original languageAbout Aymeric
Data Engineer & MLOps | Airflow | Machine Learning in production (GCP & Azure)
Do you have fragile pipelines? ML models that are difficult to maintain or deploy in the cloud?
I help data teams industrialize, automate, and make their systems reliable on GCP and Azure.
I am aData Engineer& **Data Scientist**, specializing in **Python**, **SQL**, **ETL**, and **Machine Learning**.
I work on the entiredata lifecycle- from ingestion to production - to buildscalable, reliable, and above all business-orientedsolutions.
I work on production issues where:
- pipelines are unstable or difficult to maintain
- data lacks reliability
- ML models remain at the POC stage
🚀 Some concrete examples:
- **Mecanicus**: deployment of ML models (computer vision, NLP, pricing) on GCP with API
- **Orange / Ekimetrics**: design of Azure cloud pipelines for data ingestion and transformation
This diversity allows me to cover **the entire data lifecycle, from the ML model to its industrialization**.
🛠️ What I do concretely
- Design robust data pipelines (Airflow, DBT, Python)
- Industrialize ML models (batch / orchestrated pipelines)
- Deployment and operation on cloud (GCP, Azure)
- Make processing reliable (monitoring, error management, recovery)
- Implement data & ML CI/CD
- Optimize performance and costs
💡 I turn your POCs into robust systems: reliable, scalable, and monitored pipelines & ML.
End-to-end expertise, from raw data to production on GCP & Azure.
French
Native or bilingual
English
Conversational
Can work on-site
Paris (up to 30km), Brunoy (up to 30km)
Experience
- Action Logement ServicesLead Data Engineer | Airflow / Data PlatformREAL ESTATEDecember 2024 - Today (1 year and 7 months)Paris, FranceStrategic project to structure and orchestrate data pipelines for the Action Logement DataHub.-Design and orchestrationof production data workflows, ingestion, and transformation with Apache **Airflow**, ensuring automation, reliability, and traceability of processing.- **Optimization of PostgreSQL architecture**, deployed on **Kubernetes**, to ensure performance, scalability, and robustness.-Enrichment, quality control, and data validationat various levels using PostgreSQL and PySpark, enhancing data consistency.-Securing and automating pipeline deployments(secrets management, CI/CD, environment variables), reducing production risks.- Technicalmentoring and supportfor the team on best practices in Data Engineering and orchestration.- **Implementation of automated tests and quality controls**, ensuring workflow reliability and resilience.-Creation of a Metabase dashboardfor data quality monitoring and dissemination of key indicators to subsidiaries.Result:Structuring of a robust data platform capable of supporting critical workflows and strong data quality requirements.
- MecanicusApplied Data Scientist / ML Engineer (GCP)AUTOMOBILENovember 2017 - September 2022 (4 years and 10 months)Paris, FranceCompany specializing in the purchase and sale of premium vehicles, developing data and Machine Learning solutions to automate market data collection, analysis, and valuation.- Development of alarge-scale automated data collection platform(real-time scraping) on Le Bon Coin, La Centrale, and other marketplaces, with cloud deployment on Google Cloud Platform (Google Functions)- Design of acomputer visionsystem for duplicate detection and identification of similar vehicles from images (OpenCV, Pillow, Numpy).- Development oftextual matching and NLPalgorithms to link external listings to the internal database.- Automatic classification of vehicle visual condition via Vertex AI, to enrich data used by models.- Exploration, training, and optimization ofMachine Learning pricing models(Scikit-learn, Pandas, Numpy) for automated vehicle value estimation.- Deployment of an ML model in production on GCP, exposed to automate the valuation of vehicles from collected data.Result:Industrialization of a complete chain for collecting, enriching, and automated valuation of market data to accelerate vehicle estimation.
- ORANGESenior Data EngineerTELECOMMUNICATIONSMarch 2024 - November 2024 (8 months)Paris, FranceProject for preparing and valuing marketing dataforOrange(via **Ekimetrics**).-Development of an internal Python frameworkautomating thedownload**, **validation**, and **integrationof data from an SFTP to a Databricks landing zone.- Implementation of amedallion data architecture(bronze, silver, gold) to structure ETL pipelines and ensure data flow reliability.- Deployment and industrialization of aDBTenvironment fortransformation management**, quality testing, and **data lineagetracking.-Training and supportfor two junior data analysts on Data Engineering and Data Quality best practices.- Creation of aPower BI dashboardfor quality monitoring and data set visibility.Result:Improved reliability of marketing pipelines and reduced data processing time.
Reviews
Quentin
MECANICUS
Reviewed on 4/17/2023
Super profile, competent, friendly, smart. I've been working with Aymeric for years, I highly recommend him, and I'm available for any background check.
R
Ruben
DITESCO SAS
Reviewed on 11/19/2022
Top, Aymerick is punctual, perfectly qualified for our mission. I recommend.
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Education
- Digital Technology Architect, Programming / Computer Developer, General422022Architecte en technologie numérique, Programmation / développeur informatique, général
- Computer and Information Systems Expert422021RNCP Niveau 7 validé en alternance.