Complementary expertise for a single objective

Innovatefor development

I turn challenges, data, and ideas into actionable digital solutions. Agroeconomics, Data Engineering, and Development.

Pipelines • SQL • Automation

Structure. Connect.Secure.

I build the pipelines, SQL models, and automation workflows that turn fragmented sources into clean, structured, and ready-to-analyze data.

Cotonou, BeninScroll to explore01 — 04
Georgeo Agbahungba

Who I am

About Me

The whole data chain, from field to dashboard

ETL PipelinesSQL & ModelingCloud & Quality

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.

Skills & Tools

Skills covering the
entire pipeline.

Collecting field data on the ground, designing data pipelines, performing statistical analysis, developing full-stack applications, and deploying to cloud infrastructure: my technical stack handles the full cycle from raw data to digital product.

01

Data Engineering & Cloud

  • Python
  • SQL
  • Supabase
  • Google Cloud
  • AWS Cloud
  • APIs
  • Data Pipelines (ETL)
  • Generative AI / LLMs

My Way of Working

Problem first.

Solution second.

Data Engineer

Data is only worth what it can be trusted for. I start with quality and traceability, long before any dashboard.

Projects & Products

Problems turned into products.

I build the pipelines, SQL models, and automation workflows that turn fragmented sources into clean, structured, and ready-to-analyze data.

Explore all projects

My Journey

One career.
Multiple perspectives.

Agroeconomics, development, Data Engineering: select the version of my career path that best matches your target context.

01

Data Engineering

Collection · ETL · SQL · Quality · Decision

Agricultural data life cycle: survey design, quality control, modeling, and output presentation.

You have the problem. Let's build the solution.

The need.
The data.
The solution.

Data to leverage, processes to automate, a web or mobile application to build, or an Agritech project to structure: tell me about your needs. We'll start from there.