Computer science graduate. Backend and data engineer with expertise in designing and implementing scalable solutions using Python, SQL, and cloud platforms like AWS. Skilled in GIS, Geospatial data processing, automation, and creating data-driven applications. Currently contributing to impactful projects as a Freelance Backend Developer, blending technical proficiency with a commitment to continuous learning. Passionate about leveraging technology to solve complex problems and drive innovation across industries.
Designed and implemented a MySQL-based spatial database to manage geospatial data efficiently. Automated data ingestion workflows using Python and Apache Airflow, streamlining data retrieval and processing. Developed and optimized RESTful APIs with Flask and SQLAlchemy to ensure seamless integration between backend and frontend systems. Improved data storage and accessibility by implementing backend automation pipelines.
Processed large-scale geospatial datasets and converted them into GeoJSON format for spatial analysis. Designed and implemented a PostgreSQL/PostGIS database to store and query geospatial data efficiently. Integrated regional GIS data from GADM to enhance spatial computations and analysis. Developed complex PostGIS queries for spatial operations such as intersections and aggregations. Built interactive geospatial visualizations using Folium to support data-driven insights. Created Flask-based RESTful APIs for efficient data retrieval and integration.
GPA: 3.99 / 4.00
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