About

Makokha Mark Kitts

I design and build reliable backend systems, distributed data pipelines, and cloud infrastructure that scale from prototype to production.

Background

I am a software and data engineer with 7 years of experience building production systems. My work spans distributed backends, streaming and batch data pipelines, cloud infrastructure, and geospatial platforms.

I started in IT operations at an investment bank, where I learned the value of automation and reliability. I moved to web development, where I led a monolith-to-microservices migration on AWS. Then to building distributed systems for financial software, where I architected event-driven notification systems and multi-gateway payment integrations. Most recently, I consulted on spatial data pipelines, synchronizing real-time data across three enterprise GIS platforms.

I am based in Nairobi, Kenya, and I am pursuing a Bachelor of Science in Data Science and Analytics online at USIU. I also hold a degree in Informatics from Strathmore University and an Associate Degree in Software Engineering from Holberton School.

What I Do

Backend Engineering

Distributed backends with Python, FastAPI, Django, and Node.js.

Data Engineering

ETL pipelines, data modeling, and large-scale data processing.

Cloud Infrastructure

AWS, Docker, Kubernetes, Terraform, and CI/CD automation.

Geospatial Systems

GIS, spatial data pipelines, and ArcGIS Enterprise.

Career Timeline

GIS Developer Consultant

2025-01 — 2025-10

ESRI Eastern Africa

Designed and implemented automated ETL pipelines that synchronized real-time spatial data across three enterprise platforms while eliminating manual reconciliation.

Software Engineer

2023-11 — Present

Evenezer Tech

Built event-driven payment and notification systems that reduced processing latency by 60% and delivered sub-second notifications across 10K+ daily transactions.

Web Application Developer

2020-11 — 2023-07

BSystems Kenya

Migrated a legacy monolith to AWS microservices with 99.9% uptime, cut query latency by 50%, and accelerated delivery cycles by 40% through CI/CD automation.

Information Technology Analyst

2019-08 — 2020-08

Dyer & Blair Investment Bank

Automated 40% of routine IT operations, saving 15+ hours weekly, while maintaining 99.5% uptime for 200+ staff banking systems.

Education & Certifications

AWS Certified Cloud Practitioner

Amazon Web Services · 2024

Associate Degree in Software Engineering

Holberton School · 2019