Freelancer profile translated to English.

Description

Passionate about the convergence of connected objects and data valorization, I support the digital transformation of smart territories and industries. My background, from hardware design to the deployment of Data platforms, has allowed me to build an end-to-end vision and manage high-value-added projects.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km), Lyon (up to 10km), Nice (up to 30km)

CONFIDENTIEL
Full Stack & Data AI Developer
SOFTWARE PUBLISHING
September 2025 - Today (9 months)
▪ Design and implementation of a multi-tenant Data Analytics platform enabling operators and communities to visualize and analyze data from connected meters (water and electricity).
▪ Definition and implementation of the data architecture from scratch, including the setup of aData Warehouseand the integration ofApache Supersetfor reporting analytical indicators and dashboards.
▪ Development of amulti-tenantanalytical web portal, integrating identity and access management via Keycloak and an RBAC system to control access todashboardsand data based on user profiles.
▪ Development of distributed data processing pipelines with PySpark, enabling the preparation, transformation, and enrichment of large volumes of data before analytical exploitation or use by AI models.
▪ Integration of generative AI technologies through the implementation ofRAGknowledge bases (OCR analysis, vectorization with Pgvector).
▪ Design of processing chains withLangChain/LangGraphand monitoring of model quality/performance viaLangFuseand RAGAS.
▪ Design and development of the main frontend inAngular &**React**, based on a modular architecture with lazy loading, dynamic tenant configuration, and multilingual support (3 languages).
▪ Development of backend APIs inPython(**FastAPI**) for access management, coupled withCelery/Redisfor asynchronous task orchestration and dashboard integration.
▪ Industrialization and deployment of the platform, includingDockercontainerization,Kubernetesdeployment via Helm, creation of environment initialization jobs, and Superset customization for integration into the application ecosystem.
Kubernetes Python DevOps Keycloak Apache Superset
VINCI – CITEOS
Fullstack & Lead Data Analytics Engineer
May 2024 - Today (2 years and 1 month)
Paris, France
Writing the technical architecture for a strategic project.
Design and development of a Data Analytics oriented product: Conducting in-depth studies for the design of a data-driven solution, enabling comprehensive data analysis for strategic decision-making.
Implementation of a modern data platform: Integration of cutting-edge technologies to design a scalable and secure data infrastructure, facilitating the management, processing, and analysis of large volumes of data.
Implementation of ClickHouse for managing massive data.
Orchestration of data transformations with Airflow and DBT, workflow automation.
Configuration and administration of Superset: as well as the creation of dashboards for data visualization.
Creation of custom plugins for Superset.
Migration of the Vue.js 2 frontend to Vue.js 3, with performance optimization.
DevOps migration to GitOps, deployment automation via Git pipelines.
Implementation of CI/CD pipelines.
Frontend: Dynamic loading of configurations for multi-tenant SaaS.
Setup and configuration of Keycloak.
Development of push/pull APIs for flexible data management.
Connectors and data ingestion processes with Apache NiFi
DevOps Data Engineer Full-stack Development AI Agent Airflow
FREELANCE
Data & IoT Engineer
INTERNET OF THINGS (IOT)
January 2023 - January 2024 (1 year)
▪ Gathering specific needs from the client regarding expected visualizations and functionalities.
▪ Gathering specific needs in IoT data visualization.
▪ Study of ThingsBoard APIs to retrieve data from connected devices (telemetry, events, alarms).
▪ Modification of the user interface for better ergonomics and alignment with IoT needs.
▪ Addition of specific features such as filters adapted to IoT data (real-time, devices, locations).
▪ Development of custom visualizations (interactive geographical maps, timelines, heatmaps).
▪ Design of specific graphs to represent real-time telemetry, anomalies, or historical trends.
▪ Implementation of connectors to retrieve IoT data from ThingsBoard via its REST and MQTT APIs.
▪ Synchronization of data between ThingsBoard and Superset to enable enriched analysis.
▪ Development of automation scripts to extract device metadata and integrate it into Superset.
▪ Optimization of SQL queries generated by Superset for the databases used.
Python Internet of Things