Badre (Abderrahmane) Alloul-Geospatial Software Engineer
Check rate
Experience
Geospatial Software Engineer
INRAe - French National Research Institute
- Transformed a flood damage research prototype into a production-grade Python package with modular architecture and pytest coverage, improving reliability for recurring missions.
- Developed a PyQGIS plugin (NDVI/EVI/NDWI/NBR) deployed to 15+ field users; delivered trainings and bilingual documentation to hydrologists and crisis-response teams.
- Designed Dask/xarray workflows for multi-TB Sentinel-2 and ERA5-Land datasets on SLURM clusters, cutting nationwide analysis turnaround from days to hours.
- Integrated STAC catalogs (Copernicus, Theia) with hydrological statistics (Q10/Q50/Q90, low-flow indices, trend analysis) for API export and decision dashboards.
- Leveraged BigQuery for time-series queries of Sentinel-2/climate datasets, enabling rapid ad-hoc vegetation/water monitoring for researchers and authorities.
Computational Hydrologist
REOR20 AG
- Architected an S3-based flood-risk data lake with STAC catalog and COG rasters, forming the backbone of a scalable hazard-data infrastructure.
- Built Dask/xarray pipelines processing 10+ TB/month of Copernicus climate data (NetCDF, GRIB) for flood/climate models, optimised for SLURM clusters with preemptible instances.
- Designed and documented a FastAPI/Pydantic REST API serving PostGIS hazard layers with sub-second response times for client dashboards.
- Automated country-scale DEM processing (GDAL/SAGA) into analysis-ready COGs, cutting manual pre-processing from days to hours.
- Fine-tuned a U-Net model (TorchGeo, Sentinel-2) to segment building footprints for flood damage modelling and exposure assessment.
- Collaborated with product teams and international clients to translate technical hazard outputs into decision-ready maps, reports and workshops (FR/EN).
Energy Systems & Data Engineer
ENGIE - National Company of the Rhône
- Designed a cloud-native reporting service (S3 + AWS Lambda) to automate hydropower/climate indicators used in steering committees and regulatory reporting.
- Consolidated SCADA and ERA5 data to forecast hydropower production (MW, MWh, load factors), quantifying curtailment risks and revenue scenarios shared with ENEDIS/RTE.
- Modelled dam cascade dependencies as a directed graph (NetworkX) to support risk analyses and compliance for interconnected assets.
- Built a renewable energy site-suitability tool (geopandas + MCDA) to prioritise 5,000+ PV/wind opportunities; results used with ENEDIS/RTE to align grid-connection plans.
- Ran OnSSET-based least-cost electrification scenarios for 50 off-grid sites (PV, wind, hybrid mini-grids) combining ERA5 resources, settlement data and reinforcement costs, informing energy-access feasibility studies in MENA.
- Packaged OnSSET outputs (CAPEX/OPEX per kWh, LCOE, connection timelines) into bilingual briefs and workshops for ENEDIS/RTE, aligning grid-expansion roadmaps with local access priorities.
- Presented findings to asset managers, TSOs and strategy teams, ensuring technical insights were understood and actionable by non-technical stakeholders.
GIS & Spatial Database Engineer
ANBT - National Agency for Dams
- Designed a PostgreSQL/PostGIS database for 150+ dams, achieving sub-500 ms spatial query performance for planning applications.
- Optimised database performance via partitioned tables and multi-column GiST indexes, reducing complex spatial join latency from minutes to <1 second.
- Automated derivation of IDF curves for ungauged basins, cutting manual analysis from hours to minutes and accelerating site-selection.
- Developed a PyQGIS plugin for automated DEM analysis and watershed delineation, enabling field teams to evaluate dam sites in under 30 minutes.
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Energy, Utilities, Professional Services, Government and Administration, and Agriculture.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Research and Development, Information Technology, Business Intelligence, and Strategy.
Summary
Geospatial Data Scientist with 5+ years turning research prototypes into production-grade spatial workflows, flood/climate-risk models and decision tools for energy, water and agri-environmental projects.
Expert in Python geospatial stack (geopandas, rasterio, GDAL, xarray, Dask), GIS (QGIS/ArcGIS) and spatial databases (PostGIS, BigQuery), with hands-on experience in hydropower optimisation, renewable site selection, least-cost electrification (OnSSET) and off-grid PV/wind demand forecasting.
Motivated by scaling geospatial intelligence to advance sustainable, inclusive infrastructure and energy access.
Skills
- Programming: Python (Numpy, Scipy, Pandas), Bash, Lua
- Geospatial & Gis: Geopandas, Shapely, Rasterio, Gdal/Ogr, Xarray, Dask, Qgis (Pyqgis), Arcgis, Geoserver (Wms/Wfs)
- Data & Cloud: Postgresql/Postgis, Bigquery, Geotiff, Netcdf, Grib, Cog, Stac, Aws (S3, Lambda, Ec2), Docker, Slurm
- Web & Apis: Fastapi, Rest Apis, Leaflet, Folium, Mapbox
- Ml & Remote Sensing: Scikit-Learn, U-Net (Torchgeo), Land-Cover Classification, Spectral Indices (Ndvi, Evi, Ndwi, Nbr)
- Tooling: Jupyterhub, Pytest, Git, Linux
Languages
Education
Grenoble INP - ENSE3
Master of Science, Hydraulic & Civil Engineering · Hydraulic & Civil Engineering · Grenoble, France
National Graduate School of Hydraulics (ENSH)
Bachelor of Engineering, Water Resources Engineering · Water Resources Engineering · Algeria
National Polytechnic School of Algeria
Preparatory Classes, Applied Mathematics & Physics · Applied Mathematics & Physics · Algeria
Certifications & licenses
FAO Elearning Certificate
Food and Agriculture Organization of the United Nations
NASA Applied Remote Sensing Training (ARSET) Program Certificate
National Aeronautics and Space Administration NASA
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Badre is based in Lyon, France and can operate in on-site, hybrid, and remote work models.
Badre speaks the following languages: Arabic (Native), French (Native), English (Advanced).
Badre has at least 5 years of experience. During this time, Badre has worked in at least 4 different roles and for 4 different companies. The average length of individual experience is 1 year and 4 months. Note that Badre may not have shared all experience and actually has more experience.
Based on recent experience, Badre would be well-suited for roles such as: Geospatial Software Engineer, Computational Hydrologist, Energy Systems & Data Engineer.
Badre's most recent position is Geospatial Software Engineer at INRAe - French National Research Institute.
In recent years, Badre has worked for INRAe - French National Research Institute, REOR20 AG, and ENGIE - National Company of the Rhône.
Badre is most experienced in industries like Energy, Utilities, and Professional Services. Badre also has some experience in Government and Administration and Agriculture.
Badre is most experienced in business areas like Research and Development, Information Technology, and Business Intelligence. Badre also has some experience in Strategy.
Badre holds a Master in Hydraulic & Civil Engineering from Grenoble INP - ENSE3 and a Bachelor in Water Resources Engineering from National Graduate School of Hydraulics (ENSH).
Badre has 2 certificates. These include: FAO Elearning Certificate and NASA Applied Remote Sensing Training (ARSET) Program Certificate.
The availability of Badre needs to be confirmed.
Daily rate distribution
The rates shown represent the typical market range for freelancers in this position based on recent contracts on our platform.
Average rates for similar positions
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 7 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Similar freelancers
Discover other experts with similar qualifications and experience
Ralph Elsäßer
Stephan Zinke
Hicham Mokhtari
German Popken
Louis Guitton
Cláudio Domingos
Dany-Armand Djeudeu-Deudjui
Abderrahmen Sdiri
Kai Neufeldt
Mohammad Zare
Experts recently working on similar projects
Freelancers with hands-on experience in comparable project as a Geospatial Software Engineer
Evaristus Chuo
Mostafa Shawki
Sonia Guessoum
Fabian Crabus
Martin Tabikh
Dimitrios Goulas
Georg Herbrand
Heidi Albarazi
Mohamed Rbaia
Alexander Lechner
Nearby freelancers
Professionals working in or nearby Lyon, France
Pawel Tulinski
David Athias
Sahar Swesi
Geneviève Pinvidic
Amar Amiour
Bruce Mcmillan
Desiree Khalaf
Sandra Succar
Sophie Bérenger
Emma Vernassa
