Ajeyomi Adedoyin Samuel

Geospatial Data Engineer

Envirotrust, Germany (envirotrust.eu)

• Built scalable ETL pipelines and RESTful APIs to process and serve large geospatial datasets (Zarr, COG, Parquet) using Xarray, DuckDB, FastAPI, and Titiler for real-time visualization and analysis
• Deployed cloud-native infrastructure on AWS (S3, Lambda, EC2) with Docker and CI/CD (GitHub Actions) to automate, scale, and maintain geospatial workflows
• Led collaborative development on GitHub, ensuring clean code, agile iteration, and reliable deployment across remote teams
• Engineered data pipelines to source and aggregate diverse geospatial data for wildfire, flood, heat, and wind risk modeling, preparing it for cloud-based analysis
• Developed scalable data aggregation strategies for environmental risk parameters, optimizing data transfer to cloud platforms for advanced scenario modeling

Geospatial Analyst

Milsat Technologies Limited, Abuja, Nigeria

• Performed advanced data analytics to uncover insights and trends, enhancing decision-making accuracy
• Led the design and management of geospatial and statistical dashboards for real-time monitoring and analysis
• Developed and optimized ETL processes for efficient data extraction, transformation, and loading
• Implemented and maintained databases to improve data storage and retrieval
• Designed unbiased survey questionnaires to enhance response accuracy and reliability

Training and Capacity Development Lead (Volunteer)

Spatial and Data Science Society of Nigeria (SDSN) (sdss.org)

• Delivered GeoAI and spatial data science workshops across multiple universities nationwide
• Coordinated online training programs reaching 500+ participants
• Led website development and content management, increasing engagement by 40%
• Mentored 50+ emerging geospatial professionals in technical skill development

Geospatial Tutor and Mentor (Volunteer)

Geoanalytec, Nigeria (LinkedIn)

• Trained 150+ students across Africa in GIS and remote sensing, achieving 80% course completion rate
• Delivered comprehensive basic and advanced training in Python, QGIS, ArcGIS, and Google Earth Engine
• Coordinated 10+ GIS events and 30+ structured weekend training sessions
• Provided ongoing mentorship to participants, supporting career development in geospatial fields

AWS Cloud Practitioner

AWS Cloud - Specialized in Cloud Data Engineering.

Applied Data Science Labs

World Quant Univeristy - Focus on pyhton, Data analysis, Machine learning and Performance and evaluation with projects and capstone.

ESRI UC Conference 2025 (Physical)

Spatiotemporal Analysis and Forecasting of Population Growth Hotspots in Nigeria Using WorldPop Data and ArcGIS Pro's Space-Time Pattern Mining Framework

PyCON Nigeria 2025 Workshop (Physical)

Led workshop on "Building Geospatial Data Pipelines with Open Source Tools"