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Stéphane R.SR

Stéphane R.

Data Engineer & Architect | GCP SIG Python PostGIS

€790/day
Toulouse, FR
15+ years

Average response time: 1 hour

Freelancer profile translated to English.
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About Stéphane

Data Engineer and expert in critical data architecture and Big Data pipeline industrialization (15 years of experience). I support CIOs in transforming massive and complex data into high-performing and scalable decision-making systems.

My core business: Data Engineering & Cloud Architecture.

From aerospace (Airbus) to public platforms, I design robust systems capable of processing large volumes with high demands for reliability and performance.

My areas of intervention:

🚀 Data Platform & Cloud**: Scalable architecture on **GCP(BigQuery, Cloud Run, Cloud SQL) andAWS**, **Dockercontainerization, legacy modernization, and cloud migration.

⚙️ Industrialized Data Engineering**: Design and development of automated ETL/ELT **pipelines(**Python**, advanced SQL, orchestration), CI/CD, data quality, and governance.

🛡️ Performance & Databases**: Audit, tuning, and optimization of high-traffic **PostgreSQLdatabases, advanced indexing, complex queries.

🌍 Bonus Geospatial Expertise**: Mastery of **Geospatial Data Engineering(**PostGIS**, **GeoServer**, complex spatial analyses), ideal if your projects involve a territorial, logistical, or geometric dimension.
  • French

    Native or bilingual

  • English

    Fluent

  • Spanish

    Native or bilingual

Can work on-site
Toulouse (up to 50km), Paris (up to 50km)

Experience

  • Airbus Defense & Space
    Lead Data Engineer & Pipeline Architect (Big Data & Imaging)
    DEFENSE AND MILITARY
    July 2018 - Today (7 years and 11 months)
    Toulouse, France
    Architecture, industrialization, and operation of Big Data pipelines for processing satellite imagery in critical contexts (Defense & Aerospace).

    Designed and developed satellite imagery processingpipelines(Python/SQL) with end-to-end orchestration and automation, reducing delivery times to near real-time and improving SLAs.

    Defined thedata architecture(models, flows, storage, exposure) for massive volumes and strong constraints of reliability, traceability, and reproducibility.

    OptimizedPostgreSQLdatabases (and PostGIS geospatial databases as applicable): audit, tuning, query/index optimization, improvement of performance and stability in global production.

    Implemented aCI/CDand quality approach (automated tests, data checks, industrialized deployments) to ensure reliable deliverables and reduce incidents.

    Performed impact analyses and multi-domain analysis models (agriculture, environment, water), adapting processing to business needs and operational constraints.

    Operational support and cross-functional expertise: diagnostics, team support, continuous improvement of production chains.

    Environment: Python, SQL, PostgreSQL, PostGIS, ArcSDE, ArcGIS Enterprise, CI/CD, automation, GCP, image processing.
    Data Engineer Python Google Cloud Platform (GCP) IT Architecture PostgreSQL
  • Etat de Jalisco, Mexique
    Cloud & Open Source Solutions Architect | Digital Transformation
    PUBLIC SECTOR
    January 2017 - June 2018 (1 year and 5 months)
    Guadalajara, Mexico
    International digital modernization mission ("Visor Urbano" project): a high-traffic public platform focused on territorial data.

    Designed an open-source, highly available,cloud-nativeGCP architecture for massive public consultation (sizing, resilience, monitoring).

    Deployed and operated a geospatial stack:PostgreSQL/PostGIS**, **GeoServer**, **Dockercontainerization, deployment industrialization.

    Developed high-performanceREST APIsfor data access (urban planning, land, licenses), including security, caching/optimizations, and best practices for exposure.

    Implemented **data governance**: integration of heterogeneous flows (cadastre, imagery, legal data), normalization, unique repository, and quality rules.

    Supported the dematerialization of complex business processes: scoping, modeling, production deployment, skills transfer.

    Environment: GCP, PostgreSQL, PostGIS, GeoServer, Docker, QGIS, GDAL/OGR, REST API, Open Data, data governance.
    PostGIS Docker GeoServer Data Architect Google Cloud Platform (GCP)
  • Atelier Parisien d'Urbanisme (Apur)
    Data Management & Open Data Expert
    PUBLIC SECTOR
    January 2010 - December 2016 (6 years and 11 months)
    Paris, France
    Technical data/GIS referent for the management and valorization of data for the Metropolis of Paris.

    Administered and optimized referenceOracleandPostgreSQL/PostGISdatabases: performance, security, maintenance, support for over 40 expert users.

    Designed anOpen Datastrategy and launched the technical platform: publication pipeline, quality, documentation, standardization, and operation.

    Developed automatedPythongeoprocessing (ETL/processing) for thematic studies (climate, transport, energy) and recurring production.

    Supported the migration from CAD tools to **GIS**: change management, tooling, best practices, and team training.

    Structureddata governancepractices (cataloging, rules, lifecycles, reliability) to secure usage and accelerate delivery.

    Environment: Python, PostgreSQL, PostGIS, Oracle, GIS, ArcGIS, ETL/processing, Open Data, governance.
    ETL Data Governance PostgreSQL Python ArcGIS Enterprise

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Education

  • DESS Urban Planning and Digital City Management
    Institut Français d'Urbanisme
    2006
    DESS Urbanisme et Gestion Numérique des Villes
  • Bachelor's and Master's degree in Geography
    Université Jean Jaurès
    2004
    Licence et Maîtrise de Géographie

Skill set

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