Hey there, I'm Zippy 👋..
Data Engineering | Artificial Intelligence | Python | AWS Cloud | Business Intelligence
About Me
I design scalable data engineering architectures and AI-driven pipelines for large-scale data processing, enabling automated transformation, analytics and insight generation across diverse domains.
Completed Projects
📞🌬️ Apache Airflow Call Detail Records Pipeline
A data engineering project for telecom Call Detail Records (CDR) processing, orchestrated using Apache Airflow. The pipeline uses DAGs to automate ingestion, transformation, and structuring of large-scale call data for analytics. This project is inspired by Airtel Networks Kenya Limited use case.
View Project on Github→🛒⚙️ Brazilian E-Commerce Pipeline
An end-to-end data lakehouse utilizing a Medallion Architecture (Bronze, Silver, Gold layers)inside Google Colab Engineered Python (Pandas) pipelines to transform raw, multi-relational transactional CSVs into an optimized Star Schema model for scalable downstream business intelligence.
View Project on Colab →🤖🔐Fintech Fraud Detection System
A fintech mobile money system built with Python(Flask) and enhanced with a machine learning model to detect fraudulent transactions. The system handles wallet operations such as balance management, deposits and transfers while using a Random Forest model to flag suspicious activity based on transaction patterns. This project is inspired by MTN Mobile Money use case
View Project on Github →🚗💳 Nairobi Car Rental System
A full-stack car rental platform developed using React and Flask, with integrated M-Pesa API for real-time mobile money payments. The system manages vehicle bookings, availability tracking, and pricing logic while enabling secure transaction processing through M-Pesa STK push integration. This project demonstrates full-stack development, payment gateway integration, and real-world fintech application design.
View Project on Github →🔄 Mombasa unemployment ETL Pipeline
A cloud-based data engineering pipeline for unemployment patterns in Mombasa County built with Python and deployed on AWS EC2. It uses AWS Lambda and Step Functions for orchestration, stores data in S3, enables SQL analytics through Amazon Athena, and visualizes insights using Amazon QuickSight dashboards This project is Inspired by DataKind social impact data engineering use cases.
View Project on Github →📊 M-KOPA Business Intelligence Project
A Business Intelligence Project simulating real-world analytics for M-kopa Kenya Focusing on regional performance,DSR churn and commission efficiency. It combines advanced SQL analysis, Excel modeling, and dashboard design to evaluate operational and revenue trends The project delivers data-driven insights and strategic recommendations to support executive decision-making.
Download project on Github →🌱 Agricultural Dashboard
AI-powered agricultural insights dashboard Inspired by International Institute of Tropical Agriculture use case. Built with Python and deployed on Streamlit
View Project on Streamlit →🌐 Portfolio Website
A modern AI-powered portfolio with an interactive chat interface and dynamic UI components built with Next.js React,Tailwind CSS, Node.js and deployed on Vercel.View Project on Vercel →
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Open to Data Engineering, Cloud & AI Roles🚀