About Brahim
I help businesses turn geographic data into clear, actionable insights. As a GIS Engineer, I specialize in spatial data analysis, CAD-to-GIS integration, and building reliable geospatial workflows that improve decision-making and reduce errors.
I have hands-on experience working with tools like QGIS, PostGIS, and Google Earth Engine, where I design validation processes, automate data checks using SQL, and ensure high spatial accuracy across complex datasets. My work has helped reduce processing errors and deliver consistent, high-quality geographic data.
Beyond technical GIS, I’m also the founder of Atlas Hikes, where I combine mapping, storytelling, and user experience to create engaging outdoor and tourism solutions. This gives me a unique ability to bridge technical GIS work with real-world applications like tourism, navigation, and digital platforms.
I can help you with:
• Spatial data analysis and visualization
• CAD to GIS data conversion and validation
• Database design (PostgreSQL/PostGIS)
• Remote sensing and Earth observation analysis
• Interactive maps and web GIS solutions
If you’re looking for someone who understands both the technical and practical side of geospatial projects, let’s work together
English
Native or bilingual
French
Conversational
Arabic
Fluent
Remote only
Primarily works remotely
Experience
- M.designGIS EngineerTELECOMMUNICATIONSFebruary 2025 - Today (1 year and 4 months)Tangier, MoroccoConducted advanced spatial validation and consistency checks on CAD-to-GIS datasets for large-scale network infrastructure projects, ensuring topological integrity and high positional accuracy.Designed and implemented automated data validation pipelines using SQL, improving data quality processes and reducing errors by 80%, while enabling scalable and repeatable workflows.Collaborated with cross-functional engineering and IT teams to ensure seamless integration of GIS data within enterprise systems and geospatial data infrastructures.Developed and maintained quality assurance frameworks, including validation rules, error tracking mechanisms, and detailed technical documentation of geospatial workflows.Utilized modern GIS tools and environments (e.g., ArcGIS Pro, QGIS, spatial databases) to manage, analyze, and validate large geospatial datasets efficiently.Applied best practices in geospatial data management, including coordinate system standardization, topology rules, and metadata structuring to ensure interoperability and data governance compliance.
- geomaticGIS Analyst/ developerTECHJune 2024 - April 2025 (10 months)Casablanca, MoroccoDeveloped Python ETL pipelines for large-scale geospatial data processing: collection, cleansing, geocoding andstructuring at scale (100 to 10,000+ records/day).• Automated repetitive GIS workflows, reducing processing time by 70% and freeing teams to focus on analysis and clientdeliverables.• Applied AI-assisted data normalisation across multi-source datasets to improve spatial accuracy and data reliability.
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