Duke Nyamongo
I’m Duke Nyamongo, a senior full stack engineer based in Nairobi with 7+ years of experience building and modernising cloud-native systems.
About
I’m Duke Nyamongo, a senior full stack engineer based in Nairobi with 7+ years of experience building and modernising cloud-native systems. I specialise in Python (Django, FastAPI) and React, and I enjoy turning complex, legacy code into reliable products with measurable improvements in accuracy, performance, and delivery speed.
Across my work at Safaricom and other engineering teams, I’ve scaffolded and shipped multiple products, optimised high-impact billing and data workflows, and introduced engineering practices that improved code quality and reduced review cycles. I also love mentoring—helping others grow through structured code reviews, clean architecture guidance, and security-first development habits.
- 5 years' experience
- Joined October 2026
Skills· 13
Languages
- BashkirAdvanced
Industry experience
- Telecommunications
- Financial Services
- Software & Internet
- Healthcare
Work experience· 5 roles
Scaffolded and deployed 6+ new products within 4 months, reducing initial development time by 35% compared to previous sprint cycles. Analysed 10,000+ lines of legacy billing code to identify and resolve bottlenecks, improving billing accuracy by 20%. Optimised system performance using Linux/Unix administration and database tuning while maintaining data integrity across third-party integrations. Led workflow improvements by introducing modern tooling and establishing code quality standards, cutting review cycles across the team.
Mentored 30+ students in full stack engineering, covering modern debugging workflows, clean architecture, and industry-standard security practices. Conducted structured code reviews across student projects, enforcing architectural best practices and identifying security vulnerabilities before production.
Designed and built AWS-based data infrastructure (S3, EC2, Redshift), reducing data processing time by 30%. Automated ETL workflows with Apache Airflow and containerised ML model deployments using Docker and Kubernetes to enable real-time inference and performance monitoring.
Education
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