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I'm Gwer Donatus, a Backend Systems Engineer based in Nigeria. I specialize in designing and building the infrastructure that powers modern software — from distributed systems and payment processing to AI-powered applications.
My journey into software engineering started with a fascination for how things work under the hood. While many developers focus on what users see, I've always been drawn to the architecture, the data flows, and the systems that make everything possible.
Over the years, I've built revenue attribution platforms, financial transaction infrastructure, cooperative marketplaces, and e-commerce systems. Each project has taught me something new about scalability, reliability, and the art of writing code that stands the test of time.
Architecture is not a phase — it is a continuous discipline. Every decision is a trade-off documented, every abstraction is a bet on the future, every failure mode is designed before it is encountered.
Design the data model before the route handler. Map the service boundary before the function signature.
Graceful degradation is a feature, not a fallback. The system must survive its own failure modes.
Performance is an architectural constraint, not a tuning phase. Latency is a user experience metric.
AI is infrastructure — not a feature. It belongs in the data layer, the API layer, and the observability layer.
Systems that scale quietly. Teams that move confidently. Users that never notice the infrastructure — because it simply works.
A timeline of my professional growth, from university to leading backend teams.
Proova
Leading backend development for a revenue attribution SaaS platform serving hundreds of businesses.
TxCore
Built financial transaction infrastructure handling millions in monthly transaction volume.
Naija Co-op Hub
Developed a cooperative marketplace platform with escrow, loans, and bulk purchasing.
Jos Eventia
Built vendor marketplace platform for event organizers and service providers.
University of Jos
Focused on algorithms, data structures, distributed systems, and software engineering principles.
Amazon Web Services
2023Google Cloud
2022Technologies are chosen by constraint, not comfort. Each category expands to show the specific tools I use to build, deploy, and maintain production systems.