// AVAILABLE FOR INTERNSHIPS · 2026
Victor Kipruto Rop
Data Engineer · Pipeline Architect · Data Architect
Building production-grade data systems that scale. From Kafka streams to Airflow orchestration. Experienced in designing reliable ETL, low-latency streaming, and warehouse modelling. Based in Nairobi, Kenya.
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About Me
I'm a BSc Data Science student at The Cooperative University of Kenya, building a career at the intersection of scalable systems and trustworthy data.
My work is driven by a belief that clean, well-engineered data infrastructure is what separates organisations that can act on their data from those that only think they can.
Most of that work has centered on Kenya's mobile money rails specifically: M-Pesa transaction pipelines, Safaricom's Daraja API, and the reconciliation problems that come with a payment network processing at national scale. It's a narrow, underserved niche globally, and one where the infrastructure challenges are genuinely different from a typical Stripe or PayPal integration.
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Learning & Project Experience
PesaGuard: FinTech Reconciliation Platform
Independent Product · Live Pilot
What I built
A real-time M-Pesa reconciliation and anomaly-detection platform: a Flask backend that ingests Safaricom Daraja webhook events, an idempotency-guarded reconciliation engine, a PostgreSQL data layer, and a Next.js 14 admin dashboard for monitoring transactions, match rates, and open anomalies.
What problem I solved
Kenyan SACCOs, e-commerce operators, and small fintechs had no reliable way to reconcile M-Pesa payments against their own ledgers. It was typically a manual, end-of-day spreadsheet exercise. Worse, Safaricom retries webhook deliveries, so duplicate transactions were a certainty, not an edge case, with nothing in place to catch them.
Technologies
Impact
Live in production with one pilot customer processing real M-Pesa transactions. Shipped webhook idempotency, the highest-priority risk in the system, verified end-to-end across the reconciliation engine, so a retried or duplicate webhook can never be double-counted. Also produced a target-state architecture spec scoping the platform to 100M transactions/day.
BSc Data Science Student
The Cooperative University of Kenya
Over the past year, I've specialized in data engineering and have built production-grade data systems through hands-on projects. Designed and implemented scalable ETL pipelines, real-time stream processing with Kafka, and warehouse infrastructure. These projects have equipped me with deep technical skills in Python, SQL, Airflow orchestration, and cloud architecture.
Hands-On Project Development
Building Real-World Data Infrastructure
Completed 5 major projects involving data pipeline design, cloud ETL systems, real-time transaction streaming, and warehouse optimization. Each project has significantly strengthened my understanding of production systems, best practices, and scalable architecture. I'm committed to continuous learning, eager to gain from experienced professionals, and passionate about building reliable data systems that drive organizational value.
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Technical Skills
Tap any skill for why I use it, where I've used it, and the project behind it
Orchestration & Pipelines
Streaming & Real-Time
Data Modeling & Warehousing
Data Quality & Reliability
Languages & Databases
DevOps & Testing
Data Processing Libraries
Visualisation & Analysis
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Professional Certifications
IBM / Cognitive Class
Big Data Foundations
Comprehensive training in big data concepts, Hadoop ecosystem, and distributed computing fundamentals.
IBM
Enterprise Design Thinking
Mastered user-centered design principles and collaboration techniques for solving complex business problems.
Verified Credential
Professional Development
Continued learning and specialization in scalable data systems and engineering best practices.
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Impact, By the Numbers
What the work has actually produced, not just what it uses.
