Uzochukwu Ekezie

I’m a Backend & Data Engineer focused on building reliable, data-driven systems that help businesses operate smoothly and scale with confidence. My work sits at the intersection of backend development, database engineering, and data automation — giving me the flexibility to solve both application and data-related challenges end-to-end.

I specialize in developing clean, modular backend architectures using Node.js, Python, SQL, and NoSQL databases. From designing REST APIs/ FASTAPIs and structuring service layers to optimizing database queries and implementing automation logic, I build systems that are stable, maintainable, and aligned with real business needs.

A large part of my experience involves integrating data from multiple sources, building ETL workflows, and preparing datasets for analytics and reporting. I’m comfortable working with tools like Pandas, Spark, Airflow, DBT, Docker, and cloud platforms such as AWS and GCP. Whether it’s ingesting high-volume data, transforming it into usable formats, or storing it in optimized databases, I ensure accuracy, consistency, and performance at every step.

I’ve contributed to projects ranging from bookkeeping and transaction management systems to real-time data applications, microservices, and API-driven platforms. I also enjoy solving deeper engineering problems like schema design, data modeling, performance tuning, and automating backend processes to reduce manual effort.

Above all, I value clarity, communication, and reliability. My goal on every project is simple: understand the problem, design a clean solution, and deliver work that holds up in production.

If you’re looking for someone who can build, improve, or maintain the backend and data systems that power your product, I’m ready to help bring your ideas to life.