Executive Profile
Geospatial Engineer and Spatial Data Architect with 4+ years of proven expertise architecting enterprise geospatial data pipelines, cloud-native Earth Observation systems, and GeoAI intelligence platforms for high-stakes decision support. Experienced across national-scale health planning GIS platforms, European climate and hazard risk engines, and international market intelligence systems across Africa, Europe, and North America. Published researcher with 120+ peer-reviewed citations, fusing deep geospatial engineering rigor with measurable business and public sector outcomes.
Core Competencies & Technical Capabilities
- Data Engineering & Pipelines
- High-throughput ETL/ELT pipelines, Airflow, Xarray, DuckDB, cloud-native formats (Zarr, COG, Parquet), DAX, web scraping, multi-source data harmonisation
- Cloud & DevOps
- AWS (S3, Lambda, EC2), Azure Functions, MinIO object storage, Docker containerization, CI/CD with GitHub Actions, scalable deployments
- Geospatial & Earth Observation
- Google Earth Engine, QGIS, ArcGIS Pro, PostGIS, Sentinel, Landsat, UAV imagery, Leaflet, Mapbox, TiTiler, spatial pattern mining & geostatistics
- GeoAI, ML & Computer Vision
- Deep learning, YOLO object detection, computer vision, TensorFlow, Random Forest, LLM-based structured extraction & AI-accelerated delivery
- Software & API Engineering
- Python, R, JavaScript, SQL, FastAPI, React, RESTful API architecture, PostgreSQL, microservices, clean code practices
- Analytics & Delivery
- Power BI, Tableau, Metabase, interactive dashboard design, technical project management, cross-functional remote team leadership, stakeholder communication
Professional Experience
Data Engineer
March 2025 – Present · Remote
International Water Management Institute (IWMI)
- Spearhead the data harvesting and engineering architecture for IWMI's Market Intelligence initiative, delivering intelligence support across CGIAR Centers and the CGIAR Science Program Accelerator.
- Own the end-to-end data pipeline layer, automating ingestion of secondary datasets from national governments, NGOs, and multilateral organisations into a unified, analysis-ready data foundation.
- Engineered high-throughput policy and document ingestion pipelines that mine unstructured text and institutional reports for demand signals, converting scattered publications into structured, queryable intelligence.
- Designed and launched the Demand Signal Explorer, an AI-integrated decision platform surfacing 380+ evidence-backed demand signals for executive leadership.
- Architected the AI components—automated extraction, semantic enrichment, and contextual retrieval—converting raw multi-source data into strategic market and policy intelligence.
Geospatial Data Engineer & Spatial ML Consultant
August 2025 – Present · Remote
Spatialnode (Contract / Project-Based) · Delaware, United States
- Delivered high-impact, project-based engineering and spatial machine learning contracts across global initiatives.
- SFL Location Intelligence: Architected predictive geospatial machine learning models, spatial suitability algorithms, and automated data pipelines powering location analytics and decision support.
- IWMI Intelligence Systems: Built and deployed the IWMI Demand Intelligence Information System (DIIS) and the IWMI Multidimensional Digital Inclusiveness Index (MDII) scoring platform.
- Managed the complete data lifecycle—automated multi-source ingestion, spatial validation, feature engineering, transformation, and cloud storage—leveraging Python, DAX, and Azure Functions.
- Built and maintained automated CI/CD data pipelines to streamline spatial workflows, live dashboard refreshes, and continuous system reliability.
- Developed interactive executive analytics and Power BI dashboards enabling evidence-based decision-making across Nigeria, Bangladesh, Ethiopia, and international partner institutions.
Geospatial Data Engineer
June 2025 – Present · Remote
Envirotrust · Germany
- Engineered scalable, cloud-native ETL pipelines and RESTful APIs serving gigabyte-scale geospatial datasets (Zarr, COG, Parquet) using Xarray, DuckDB, FastAPI, and TiTiler for real-time visualization and analytics.
- Architected cloud infrastructure on AWS (S3, Lambda, EC2) with Docker containerization and GitHub Actions CI/CD to automate, scale, and maintain mission-critical geospatial workflows.
- Sourced, harmonized, and aggregated multi-sensor climate and environmental feeds powering predictive risk modeling for wildfire, flood, extreme heat, and wind hazards across Europe.
- Optimized cloud data transfer and query strategies for environmental risk parameters, significantly lowering data retrieval latency for complex scenario simulations.
Technical Project Manager — MSDAT GIS
May 2025 – September 2025 · Contract
eHealth4everyone · Abuja, Nigeria
- Directed technical strategy and product delivery for MSDAT GIS, Nigeria's flagship Multi-Source Data Analytics and Triangulation platform for national health planning, resource allocation, and spatial decision support.
- Owned technical architecture across the entire stack—tool evaluation, system design, backend APIs, frontend GIS interface, and design system—driving consensus across cross-functional engineering and health domain teams.
- Designed and integrated a suite of 10+ advanced spatial analysis tools into a unified interface (hotspot detection, cluster analysis, choropleth mapping, buffer & proximity analysis, spatial querying, and multi-layer overlays).
- Integrated the geospatial engine directly with national health indicator datasets, empowering decision-makers to seamlessly transition from macro national metrics to granular state and LGA (Local Government Area) spatial analysis.
- Accelerated product delivery from projected months to weeks (~70% development velocity increase) by leveraging modern architecture and AI-assisted workflows.
Geospatial Analyst
2023 – 2024 · Hybrid
Milsat Technologies Limited · Abuja, Nigeria
- Delivered advanced geospatial analytics and predictive modeling that improved strategic decision-making accuracy for corporate and public sector clients.
- Led the design and deployment of real-time geospatial and statistical dashboards for spatial monitoring and executive reporting.
- Optimized ETL data workflows and relational database schemas to enhance query performance and data storage efficiency.
- Designed and administered structured spatial survey frameworks to ensure high data integrity and accuracy.
Volunteering & Community Leadership
Training and Capacity Development Lead
2023 – Present
Spatial and Data Science Society of Nigeria (SDSN)
- Spearheaded national capacity building in GeoAI and spatial data science, delivering hands-on workshops across universities nationwide.
- Coordinated online training programs reaching 500+ participants and mentored 50+ emerging geospatial professionals.
- Led digital platform and content strategy, driving a 40% increase in community engagement.
Geospatial Tutor and Mentor
2023 – Present · Remote
Geoanalytec · Nigeria
- Trained 150+ students and professionals across Africa in GIS, remote sensing, and Python, achieving an 80% course completion rate.
- Organized and led 10+ GIS events and 30+ structured weekend masterclasses in Google Earth Engine, QGIS, ArcGIS, and spatial programming.
- Provided 1-on-1 technical mentorship and career guidance to emerging data practitioners.
Education
B.Tech, Remote Sensing and GIS
2016 – 2023
Federal University of Technology Akure, Nigeria
- GPA 4.25/5.0 (Top 10%) · WES equivalent 3.58/4.0.
- Specialised in remote sensing, GIS fundamentals, and environmental geography, with coursework in
agriculture, forestry, geology, urban planning, and cartography.
Selected Publications
- Monitoring and predicting the influences of land
use/land cover change on cropland characteristics and drought severity using remote sensing
techniques — Taiwo, Kafy, Samuel, et al. Environmental and
Sustainability Indicators 18, 100248 (2023). 105 citations.
- Soil organic carbon stocks as driven by land use in
Mato Grosso State: the Brazilian Cerrado agricultural frontier — Nwaogu, Diagi, Ekweogu,
Ajeyomi, et al. Discover Sustainability 5(1), 382 (2024). 8 citations.
- The Multidimensional
Digital Inclusiveness Index Scoring Dashboard (Version 2.0) — Jolaiya, Nejo,
Ajeyomi, et al. International Water Management Institute, Report (2026).
- A
geoinformation-based analysis of site suitability for dams in a rain-fed agricultural system in
Nasarawa State, Nigeria — Ibitoye, Ajeyomi. Journal of Sustainable
Technology 13(1), 129–146 (2024).
- Geostatistical
modelling of urban heat island effect in Lagos, Nigeria — Onyedikachi, Saheed,
Samuel, et al. SGEM GeoConference (2024).
- A
reclassification-based framework for vegetation greenness assessment across mixed landscapes and
spatial extents — Ajeyomi, Abiala. Journal of Geography, Environment
and Earth Science International 30(2), 45–62 (2026).
- Differential
impacts of nDSM fusion on pixel-based LULC classification using UAV RGB imagery — Joshua,
James, Bello, Ajeyomi, et al. Int. Journal of Advances in Signal and Image
Sciences (2026).
- Assessing the influence of locational suitability on the
spatial distribution of household wealth in Bernalillo County, NM — Okeke, Nelson, Nwaogu,
et al. arXiv:2510.11048 (2025).
Full list of 10 publications on Google Scholar.
Certifications
AWS Certified Cloud Practitioner
Amazon Web Services · 2023–2026
Applied Data Science Lab
WorldQuant University · 2025
Awards
ESRI Young Scholar Africa
ESRI · 2023
Winner — Nigeria Meta Geospatial & Mobility Data Health
Hackathon
Meta / DSN · 2023
Talks & Workshops
Spatiotemporal Analysis and Forecasting of Population Growth Hotspots in
Nigeria
Sept 2025
ESRI User Conference 2025
Building Geospatial Data Pipelines with Open Source Tools (workshop)
Oct 2025
PyCon Nigeria 2025
Nigeria_Geodata: Simplifying Access to Nigerian Geospatial Data ·
Spatial Stats vs Geostatistics (SDSN webinar)
2024–2025