Data Engineering & Cloud
- Python
- SQL
- Supabase
- Google Cloud
- AWS Cloud
- APIs
- Data Pipelines (ETL)
- Generative AI / LLMs
IDEAS • DATA • PRODUCTS
I analyze needs, structure data and build digital products that turn ideas into usable solutions.
Pipelines • SQL • Automation
I build the pipelines, SQL models, and automation workflows that turn fragmented sources into clean, structured, and ready-to-analyze data.

Who I am
I am Georgeo AGBAHUNGBA, a data engineer. I design the systems that make data trustworthy, from field collection through to reporting.
My original ground is agricultural: surveys, value chains, monitoring and evaluation. That is where I learned that badly collected data can never be repaired downstream.
I build ETL pipelines, SQL models, and automated quality controls. The goal is not the dashboard, it is how much you can trust it.
I work with Python, SQL, Supabase, and cloud infrastructure, bringing in generative AI where it saves time without costing reliability.
Technical stack
Collect, clean, model, automate, report: every stage in the life of a dataset has its tools, and I hold the whole chain rather than one link.
My Way of Working
Problem first.
Solution second.
Data is only worth what it can be trusted for. I start with quality and traceability, long before any dashboard.
Projects & Products
I build the pipelines, SQL models, and automation workflows that turn fragmented sources into clean, structured, and ready-to-analyze data.
Mapping & Culture
Local Platform
Agricultural Data
Agricultural Media
Development
Agritech & Data
Delivered applications, platforms and experiments.
My Journey
Agroeconomics, development, Data Engineering: select the version of my career path that best matches your target context.
Your data deserves better than a spreadsheet.
Data scattered across sources, field collection that needs to become reliable, indicators you cannot recompute from one month to the next: tell me the situation. We will start from there.