I build data pipelines, analytics platforms, and distributed systems that move fast and stay reliable. 3+ years engineering production data infrastructure — from ETL architectures on Azure to leading microservice migration programmes at scale.
Led a 12-member team to refactor 150+ heterogeneous microservices (Go, Java, TypeScript, JS) into unified Python services. Architected async FastAPI services consolidating data flows across WhatsApp, Viber, and Telegram — millions of messages/month for the African market.
Multi-tenant analytics platform for a 300-person organisation across 11 departments. Fully anonymous submissions by decoupling identity from responses — zero PII stored. Real-time dashboards surfacing gender engagement scores at individual, department, and company level.
Multi-tenant professional portfolio platform for New School HR community. Dual-portal architecture — Admin RBAC for 500 members + peer recommendation exchange. Tenant data isolation with M-Pesa Daraja billing roadmap for 40M+ mobile-money users.
I'm a data engineer based in Nairobi, Kenya, with a strong conviction that good data infrastructure is the backbone of every data-driven product decision.
My background sits at the intersection of distributed systems, ETL pipelines, and backend engineering. I've led teams, shipped production services under tight deadlines, and navigated the complexity of multi-jurisdiction enterprise deployments across six African markets.
I'm deepening my expertise in modern data stack tools — dbt, Airflow, Snowflake — and actively seeking mission-driven global organisations where data engineering has direct product and business impact.
Whether you're building data infrastructure, migrating legacy systems, or designing analytics platforms — I'd love to hear about it.