Kelvin Nsengiyumva Ngabo

Motivated Cloud Development and Operations student at Algonquin College. Brings two degrees in Computer Science and prior internship experience as a Software Engineer, where I collaborated in Agile sprints to deliver production-ready code. Bilingual (English/French) and skilled in full-stack development, cloud-native architecture and DevOps automation.

• Cloud-Native E-Commerce Microservices Platform - 2025

* Orchestrated a 6-service microservices architecture on Azure Kubernetes Service (AKS), utilizing RabbitMQ for asynchronous messaging between order processing and fulfillment services.

* Automated deployment workflows using GitHub Actions, achieving zero-downtime rolling updates by integrating container build, test, and push cycles to Docker Hub.

* Engineered resilient data persistence for MongoDB and RabbitMQ using Kubernetes StatefulSets and Persistent Volume Claims (PVCs) to ensure data integrity during pod scaling.

* Implemented AI-driven features by integrating a Python/Flask-based recommendation engine alongside a Node.js/Express backend ecosystem.

* Secured cluster configuration by managing sensitive credentials and environment variables through Kubernetes Secrets and ConfigMaps.

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• Real-Time Sales Data Pipeline in Azure - 2025

* Designed and implemented a real-time event-driven data pipeline using Microsoft Azure services

* Built a Python-based data simulator to generate and stream data into Azure Event Hubs

* Configured Azure Stream Analytics jobs to process streaming data and output to Power BI dashboards for live visualization

* Archived raw data in Azure Blob Storage, creating both hot and cold paths for analytics

* Verified successful end-to-end data flow and performance monitoring through Azure metrics

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• Azure Data Analytics Pipeline (Group Project) - 2025

* Collaborated in a 5-member team to implement a full cloud-based data analytics pipeline using Azure

* Loaded cleaned data into Azure Blob Storage and transformed it using Azure Data Factory into Azure SQL Database

* Built interactive Power BI dashboards visualizing real-time sales insights

* Implemented security using Role-Based Access Control (RBAC) and optimized cost by selecting appropriate Azure tiers

* Ensured project completion by following DevOps principles and deleting resources post-deployment

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• Rideau Canal IoT Monitoring System - 2025

* Architected a real-time IoT monitoring solution to track ice safety conditions across 3 key locations, ingesting telemetry data via Azure IoT Hub.

* Developed a stream processing pipeline using Azure Stream Analytics to calculate 5-minute tumbling window aggregations (min/max/avg) for ice thickness and temperature.

* Built a live safety dashboard using Node.js and Chart.js hosted on Azure App Service, visualizing real-time safety status (Safe/Caution/Unsafe) based on complex business logic.

* Implemented a dual-path storage strategy, routing hot data to Azure Cosmos DB for instant dashboard retrieval and cold data to Azure Blob Storage for historical archival.

• English
• French
• Ikinyarwanda