Adiba A.

Welcome! I am an accomplished GIS Data Full Stack Engineer with a Master's Degree in GIS/Geospatial Science and over 14 years of professional experience in Geoinformation Systems Development and GIS Data Engineering. My expertise spans the full spectrum of geospatial data processing, analysis, and visualization, helping clients transform raw geospatial data into actionable insights. Key Specializations: ✅ Interactive Map Development: I create engaging, interactive maps that are intuitive and designed to enhance the user experience and deliver valuable geospatial insights. ✅ Web GIS Applications (2D & 3D): I develop dynamic web GIS applications using state-of-the-art technologies to visualize, analyze, and present geospatial data in both 2D and 3D environments. ✅ Spatial ETL (Extract, Transform, Load): Efficiently manage the extraction, transformation, and loading of spatial data, ensuring accuracy, consistency, and optimization of complex data workflows. ✅ Data Visualization: I turn complex geospatial datasets into clear, visually appealing graphics that make interpretation easier and support decision-making. ✅ Geodata Conversion & Transformation: Skilled in converting and transforming geospatial data formats and projections to meet different application needs. ✅ Geospatial Analysis: Expertise in performing in-depth geospatial analysis, modeling, and reporting to support strategic decisions. ✅ Cartography: Crafting detailed, aesthetically pleasing maps that effectively communicate geospatial data. ✅ Route Mapping: I design and optimize routes for navigation and logistics, considering various constraints to improve efficiency. Tools & Frameworks Proficiency: PostgreSQL/PostGIS: Harnessing spatial databases for storing, querying, and analyzing large geospatial datasets. Cesium: Building immersive 3D virtual globes and visualizations for geospatial applications. GDAL/OGR: Processing, converting, and managing geospatial data using these powerful libraries. QGIS/PyQGIS: Leveraging QGIS with Python scripting to automate GIS workflows and create custom plugins. Mapbox, MapLibre, Leaflet, OpenLayers: Developing highly functional interactive web maps for rich geospatial experiences. ReactJS: Crafting dynamic, responsive interfaces for GIS web applications with a focus on usability. Cesium: Visualizing 3D point clouds for geospatial data analysis and exploration. Spatialite/SQLite: Using lightweight spatial databases to manage geospatial data efficiently. AWS (RDS/EC2): Deploying and managing geospatial applications on scalable, reliable cloud infrastructure. Programming Skills: Django / Flask : Developing scalable back-end systems for web GIS applications. C#: Building desktop GIS applications and integrating spatial functionality into existing systems. JavaScript: Enabling dynamic behavior and interaction in web GIS applications. Python: Automating geospatial workflows, performing data analysis, and developing custom GIS tools. React : Structuring and styling responsive, user-friendly web GIS interfaces. SQL: Writing complex queries to efficiently manage and analyze geospatial data. Geospatial Data Formats Expertise: LAS/LAZ: Processing LiDAR point cloud data for various analytical purposes. Shapefile: Handling and converting one of the most commonly used vector formats in GIS. GeoJSON: Working with this lightweight, flexible format for representing geospatial features. GeoTIFF: Managing georeferenced raster data with precision and detail.