Badre (Abderrahmane) A.
Geospatial Software Engineer
Experience
Apr 2025 - Sep 2025
6 monthsLyon, France
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.
Nov 2023 - Apr 2025
1 year 6 monthsZürich, Switzerland
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).
Mar 2021 - Oct 2023
2 years 8 monthsLyon, France
Energy Systems & Data Engineer
ENGIE – Compagnie Nationale du 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.
Oct 2019 - Aug 2020
11 monthsAlgeria
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.
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 agrienvironmental projects across Europe, North Africa and the Middle East. 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.
Languages
Arabic
NativeFrench
NativeEnglish
AdvancedEducation
Sep 2020 - Jun 2021
Grenoble INP – ENSE3
MSc · Hydraulic & Civil Engineering · Grenoble, France
Sep 2016 - Jun 2019
École Nationale Supérieure d’Hydraulique (ENSH)
BEng · Water Resources Engineering · Algeria
Sep 2014 - Jun 2016
École Polytechnique Nationale d’Algérie
Preparatory Classes · Applied Mathematics & Physics · Algeria
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