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Geospatial Data Engineer

Earth Geo Analytics, Isère, France

• Independent geospatial software engineer providing scientific computing and Earth observation expertise to international research institutions.
• Scientific Software Engineering
  • Develop, maintain, and optimize large-scale Sentinel-1 SAR processing pipelines for cryosphere monitoring.
  • Modernize legacy scientific software (IDL, GAMMA) by designing robust, modular Python workflows.
  • Design automated and reproducible processing pipelines for Linux and HPC environments.
  • Improve software quality through modular architecture, testing, and workflow automation.
• Geospatial Data Production
  • Produce large-scale geospatial products from Sentinel-1 SAR imagery, including velocity maps and interferometric datasets.
  • Process multi-terabyte Earth observation datasets over Antarctica and Greenland.
  • Integrate heterogeneous geospatial and remote sensing datasets into scientific processing workflows.
• High-Performance Scientific Computing
  • Develop scalable processing solutions for HPC clusters.
  • Optimize computational performance through parallel processing and efficient I/O strategies.
  • Build robust geospatial data pipelines for large-scale scientific analyses.
• Technologies
  • Programming Languages: Python, SQL, Bash, IDL
  • GIS & Geospatial: QGIS, GDAL, Rasterio, GeoPandas, PostGIS, PDAL, Shapely
  • Scientific Computing: NumPy, Pandas, Xarray, Dask, Joblib
  • Earth Observation & Remote Sensing: SAR processing (GAMMA software), Stereogrammetry (ASP)
  • Data Engineering: NetCDF, Zarr, GeoTIFF, Cloud Optimized GeoTIFF (COG), GeoPackage, Parquet
  • Software Engineering & Infrastructure: Linux, Git, Docker, Conda/Mamba, HPC (Slurm/OAR), CI/CD, Testing

Geospatial Data Engineer

University of California Irvine, IRVINE, USA

• Scientific Programming
  • Maintenance, updating and documentation of the Sentinel-1 Radar processing chain.
• Data Production
  • Ice motion data production using Sentinel-1 processing chain on servers cluster and HPC.

Research engineer

Institute of Environmental Geosciences, CNRS, Grenoble, France

• Geospatial Data Analysis
  • Development of workflows for geospatial analysis using python and databases (PostgreSQL,PostGIS).
  • Management of the local IT infrastructure to process the calculations.
  • Development of test cases to test up-to-date computation methods (Dask) and data access (STAC format).
• Data Visualisation
  • Development of the IGE visualisation website and web applications for the visualisation of scientific data.
• Scientific visualization
  • exploration of data from oceanographic simulation models models (NEMO) with PARAVIEW.
  • 3D modelling in Blender from geodata.
• Data Management
  • European H2020 PROTECT project - Deployment of an online data management solution (CKAN). Administration of the dedicated server (Debian).
  • Development of a compliance checker for ISMIP6 (python).

Postdoctoral Researcher

INRAE, Grenoble, France

• Scientific activities
  • Development of classification models (Machine Learning) of forest species from Lidar and from Lidar and hyperspectral data.
  • Development of prediction models in the context of natural hazards (block falls).
• Follow-up and technical management of the European projects ( GreenRisk4alps and Links4soils ).
• PhD Co-supervision
  • Tusa E. (2017-2020) - INRAE / Gipsa-Lab - Signal processing - Fusion of 3D point clouds and hyperspectral data for the extraction of geometric and radiometric features of trees.
  • Cros V. (2018-2022) - INRAE - Biomechanics - Mechanical diagnostic with vibration analysis on standing tree of the efficiency and durability of forests' protection function.

PhD in instrumentation, signal processing, and imaging

INRAE, Grenoble, France

• Characterization of the consequences of the fungal activity on the mechanical properties of a woody stem in structures of ecological engineering of protection against the natural hazard.

Engineer

INRAE, Grenoble, France

• Design/implementation of thematic databases with postgreSQL.
• Management of multidisciplinary databases.
• Design/implementation of mechanical tests in the laboratory.

Application engineer

Autodesk, Montbonnot, France

• Training, technical support in structural engineering with Robot Structural Analysis
• Technical specifications for timber structures.

Wood structural engineer

Bourgeois - Vinci Construction, Lyon

• Design of wooden structures of historical monuments (castles, churches)

Engineer - corporate financing

bpifrance, Dijon, France

• Financing of business development, transfer and buy-out projects.

PhD

Université Grenoble Alpes, France

• PhD thesis in Instrumentation, Signal and Imaging for the Environment

Master Business management

Université Paris-Est Créteil, France

• Master

Wood structural engineer

École Nationale Supérieure des Technologies et Industries du Bois, Université de Lorraine, Epinal

• Master

Environnement

• Local to remote servers, HPC

Languages

• Python, SQL, IDL, R

Database

• PostgreSQL, PostGIS

Coding

• {"Geospatial Python Stack"=>"Shapely, Pyproj, Fiona, Rasterio, GeoPandas, Xarray, Dask,Cython, GDAL/OGR"}
• {"Version Control"=>"gitHub, GitLab"}

Remote sensing/GIS

• Google Earth Engine (JS and Python APIs), QGIS

Data Visualisation

• Paraview, D3.js, Plotly, Blender, Sketchup

Web development

• JavaScript, HTML, CSS

Numerical Simulation

• Robot Structural Analysis - Autodesk