Data Engineer | DevOps Professional | Full-Stack Developer
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Hi! I'm Michelle Wambaya, a passionate data engineer and DevOps professional from Kenya. With a unique background combining economics, finance, and technology, I bring a analytical mindset to solving complex data challenges.
I specialize in building scalable data pipelines, cloud infrastructure, and full-stack applications that drive real business value. My recent work includes implementing CI/CD pipelines that reduced deployment times by 70% and creating environmental monitoring systems using GIS technology.
My journey has evolved from economics student to full-stack developer and aspiring data engineer. I've worked as a Developer Consultant, handled DevOps and automation projects, and explored real-world data applications through externships and research.
Currently, I'm expanding my expertise through the ALX AWS Cloud program and advanced data engineering courses. My foundation in Python, SQL, and cloud platforms like AWS helps me build scalable solutions and extract meaningful insights from complex datasets.
I'm passionate about blockchain technology, data visualization, and building systems that solve real-world problems. When I'm not coding or analyzing data, I enjoy writing, research, and exploring emerging technologies.
Intensive cloud computing program focusing on AWS services, cloud architecture, and infrastructure management. Building expertise in cloud-native solutions and DevOps practices.
Designed and implemented CI/CD pipelines, managed cloud infrastructure, and provided containerization solutions for clients across East Africa. Specialized in AWS, Docker, and Kubernetes deployments.
Developed spatial analysis solutions and created interactive mapping applications. Worked with environmental data to support conservation and urban planning initiatives across Kenya.
Gained practical experience in financial analysis, budget preparation, and corporate accounting. Developed skills in financial modeling and regulatory compliance.
Complete CI/CD pipeline with Docker containerization, Kubernetes orchestration, and AWS deployment for a microservices architecture supporting 10,000+ users.
Data engineering solution processing customer behavior data to generate insights for East African e-commerce platforms, handling 1M+ transactions monthly.
I'm always open to discussing new opportunities, collaborating on interesting projects, or simply connecting with fellow tech enthusiasts. Feel free to reach out!