Freelancer profile translated to English.
Back to original languageAbout Brice
Data Engineer & IoT Architect
I help companies design solutions for collecting, processing, and leveraging data from connected systems, business applications, and cloud platforms.
With expertise in both Data Engineering and IoT architectures, I work across the entire data value chain: acquisition, transport, storage, transformation, exposure, and large-scale data utilization.
I assist clients in designing robust, secure, and scalable architectures capable of handling both real-time streams and batch processing, while ensuring data quality and availability.
My areas of intervention:
Data and IoT platform architecture;
ETL/ELT pipeline design and real-time processing;
Data collection and integration from connected objects, sensors, and APIs;
Implementation of streaming and messaging solutions (MQTT, RabbitMQ, Kafka);
Process orchestration and automation;
Cloud solution deployment and CI/CD industrialization;
Data valorization for BI, AI, and business applications;
Technical guidance and team support.
Technologies: Python, SQL, GCP, BigQuery, Airflow, Docker, Git, PostgreSQL, MongoDB, MQTT, Node-RED, REST APIs, CI/CD, Data Engineering, IoT, MLOps.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- CGIData Engineer / Python Backend DeveloperDIGITAL AND ITMarch 2026 - Today (5 months)Puteaux, FranceDesign and development of a complete data platform focused on ingestion, transformation, orchestration, and data exposure, in a logic close to industrial environments.Tasks & achievements:Data Engineering ArchitectureDesigning batch and real-time data processing architectures.Implementing automated ETL pipelines for data ingestion, transformation, and loading.Structuring and modeling relational data in PostgreSQL.Orchestration & IndustrializationImplementing orchestration workflows with Apache Airflow:SchedulingDependenciesMonitoringError recovery.Containerizing services with Docker.Backend & Data APIsDeveloping REST APIs with Django and FastAPI for data exposure and consumption.Implementing Python backend services for processing and distributing data streams.Data Processing & AnalyticsCleaning, transforming, and analyzing complex datasets with Python.Creating automated processes and optimizing pipeline performance.Good Engineering PracticesModular project structuring.Version management with Git/GitHub.Production-oriented and maintainability approach.Technical Environment:Python, GCS, BigQuery, DBT, Apache Airflow, PostgreSQL, FastAPI, Django, Docker, ETL, REST APIs, Git, GitHub
- VIRTUOSE REALITY STUDIOCreative TECH, AI & UI EngineerDIGITAL AND ITSeptember 2025 - January 2026 (4 months)Levallois-Perret, FranceMissions:AI Experimentation: Conducting benchmarks, fine-tuning, and testing detection models to comparatively evaluate performance and optimize models for specific use cases. Participating in model releases and their integration into existing pipelines, ensuring smooth and reliable production deployment.Hardware Development and Automation: Designing and implementing an automated RJ45 -> USB-C communication module with Python and Bash scripts, ensuring interoperability and simplifying data flows.SDK and Software Tool Creation: Developing a Python SDK for using the SAMBA protocol, facilitating programmatic access to network resources and improving the internal developer experience.UI/UX and Technical Interfaces: Upgrading and enriching a Python/QML user interface, creating new screens/pages, and implementing an independent transfer mode, demonstrating the ability to combine ergonomics and advanced functionalities.Comparative Testing and Optimization of Super-Resolution Models:waifu2x, RealESRGAN, StableSR.Technical Environment:Python, Bash, QML, AI & Deep Learning, Model Fine-tuning, Benchmarking, SDK Design, Network Protocols (SAMBA), Image Super-Resolution, Integration & Automation, Technical UI/UX.Notable Results:Delivery of a complete, scalable, and evolving application.Project presented at VivaTECH 2025
- CGIAI Engineering & System Architecture AssistantDIGITAL AND ITMay 2025 - February 2026 (9 months)Boulogne-Billancourt, FranceDesign of an intelligent assistant based on LLMs to support system architects in generating, analyzing, and assisting with UML diagrams and the PlantUML ecosystem.Missions:Monitoring & AI BenchmarkingConducting a functional benchmark of existing AI assistance solutions for development and software architecture.Comparative study of AI models suitable for UML diagram generation and comprehension challenges.LLM Research & ExperimentationEvaluation and testing of various open-source models.Technical selection of the Code Llama model for the POC.Conducting test campaigns on different types of UML architectures.Comparative analysis of prompt performance and the quality of generated outputs.POC DevelopmentDeveloping an application interface with Python and Streamlit.Implementing an authentication system via Firebase.Integrating a MongoDB database for storing architecture and user interaction data.Project structuring and version management with Git.Technical ObjectivesAssistance in generating UML diagrams via prompts.Exploring AI use cases applied to system architecture.Validating the feasibility of a specialized AI assistant for system engineers.Results:Implementation of a functional prototype of a specialized UML/PlantUML AI assistant.Validation of the relevance of open-source LLMs for software architecture use cases.Acquisition of expertise in:Prompt engineering,LLM experimentation,Applied AI integration,Internal AI tooling.Technical Environment:Python, Streamlit, CodeLLaMA, MongoDB, Firebase, Git, PlantUML, LLMs, Prompt Engineering
Recommendations
These freelancer profiles also match your criteria
Agatha Frydrych
Backend Java Software Engineer
4.7
(3)
2
Baptiste Duhen
Fullstack developer
4.6
(4)
5
Amed Hamou
Senior Lead Developer
4
(2)
7
Audrey Champion
Web developer
4.3
(3)
4
Education
- Master's Degree in Big Data: Advanced Analytics for Decision MakingUniversité de Technologie de Troyes2022- Data analytics : enseignements sur l’extraction d’information pertinentes, leur analyse et leur valorisation comme levier de croissance de l’entreprise ; - Data science pour la modélisation et la conception d’algorithmes de Machine Learning et Deep Learning pour la résolution de problèmes complexes ; - Ingénierie Big Data pour concevoir des projets Big Data résilients et scalables, depuis le choix de l’architecture (Hadoop, Spark, Cloud), des bases de données (NoSQL, BigTable) jusqu’aux solutions de traitement et de visualisation.
- Master's Degree in Embedded Electronic Systems Engineering (SEE)Université Paris-Saclay / ISTY (Institut des Sciences et Techniques des Yvelines)2021Projets d’étude : - Réalisation de l’avant-bras du robot Inmoov (Arduino – Servomoteurs - Qt) - Smart ECG : Système de télémétrie connecté (Arduino – capteurs cardiaques – Qt) - Application Android d’envoi de données : (MQTT – Arduino - Android)