Richard Olaniyan
Cloud Solutions Architect • DevOps Engineer • Site Reliability Engineer • Backend Engineer
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👨 🖥 Experience Level :8+ years in cloud architecture, DevOps, and backend engineering
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🧩 Interested in :Technology, Sports, History, Research, Data Engineering
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💡 Stacks :AWS (Athena, Redshift, EMR, Glue, S3, Lake Formation), Python, Java, SQL, Bash, Kubernetes, Docker, Terraform, CI/CD, Linux, Data Engineering, IaC, Agile
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🏛 Academics :Ph.D. Computer Science - McGill University 🎓
M.Sc. Computer Science - University of Edinburgh 🎓
B.Sc. Computer Engineering - Obafemi Awolowo University 🎓 -
🏆 Certifications :AWS Certified Solutions Architect, AWS Certified DevOps Engineer, Certified Kubernetes Administrator (CKA)
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🌍 Location :Canada
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⚡ Fun fact :Prefer Smoothie over coffee ☕
Summary:
Experienced Cloud Solutions Architect and Backend Engineer with a proven track record in designing, deploying, and optimizing cloud infrastructures for large-scale organizations. Adept at driving operational efficiency, automating critical processes, and delivering resilient, maintainable solutions. Passionate about leveraging technology to solve real-world problems and committed to continuous learning and innovation.
WHAT I DO
Cloud Solutions Architect
As a Cloud Solutions Architect, I design, implement, and optimize secure, scalable, and cost-effective cloud infrastructures across AWS and hybrid environments. My expertise spans cloud-native architectures, multi-account strategies, and automation using Infrastructure as Code (Terraform, Pulumi). I lead the end-to-end delivery of cloud, data, and ML/AI platforms—enabling rapid deployment, high availability, and compliance for enterprise workloads.
I have architected and migrated mission-critical applications, built data lakes and analytics pipelines (AWS Glue, Redshift, Athena, EMR), and delivered ML/AI infrastructure for research and production. My approach emphasizes DevOps best practices, CI/CD, security, and stakeholder collaboration to drive business value and innovation.
Infrastructure & DevOps Engineer
I specialize in building and automating robust infrastructure for cloud, data, and ML/AI workloads. My experience includes designing CI/CD pipelines, container orchestration (Kubernetes, Docker), and implementing Infrastructure as Code for repeatable, auditable deployments. I have delivered secure, compliant, and highly available environments for SaaS, data engineering, and research platforms.
Proficient in AWS (S3, Redshift, EMR, Glue, Lake Formation), Python, Bash, and modern DevOps toolchains, I drive operational excellence through automation, monitoring, and cost optimization. I am committed to continuous improvement, knowledge sharing, and enabling teams to deliver at scale.
Research & Development
My R&D focus is on advancing cloud, data, and AI/ML infrastructure. I have contributed to academic and industry research in distributed systems, edge/fog computing, and scalable data platforms. I am passionate about prototyping new solutions, evaluating emerging technologies (e.g., Rust, Pulumi), and translating research into production-ready architectures.
I thrive in dynamic, collaborative environments—leading pilots, proofs of concept, and cross-functional initiatives. My commitment to lifelong learning and innovation ensures I stay at the forefront of technology, consistently delivering impactful solutions.