
Aditya Sahu
Technology / Internet
About Aditya Sahu:
With over four years dedicated to IT infrastructure and Linux administration, I am passionately driven by architecting scalable, secure, and cost-optimized cloud solutions through automation and modern DevOps practices. I have mastered a comprehensive skill set that includes orchestrating CI/CD pipelines with Jenkins and Kubernetes, automating infrastructure with Ansible and Terraform, and deploying full-stack monitoring with Prometheus and Grafana across AWS, Azure, and GCP. This expertise is demonstrated by my success in reducing deployment cycles by 40%, improving rollback efficiency by 70%, and designing serverless architectures that achieve 99.99% availability while significantly lowering operational costs.
Experience
With over four years dedicated to IT infrastructure and Linux administration, I am passionately driven by architecting scalable, secure, and cost-optimized cloud solutions through automation and modern DevOps practices. I have mastered a comprehensive skill set that includes orchestrating CI/CD pipelines with Jenkins and Kubernetes, automating infrastructure with Ansible and Terraform, and deploying full-stack monitoring with Prometheus and Grafana across AWS, Azure, and GCP. This expertise is demonstrated by my success in reducing deployment cycles by 40%, improving rollback efficiency by 70%, and designing serverless architectures that achieve 99.99% availability while significantly lowering operational costs.
Education
During the DevOps and Cloud Expert Bootcamp at Staragile in 2025, I successfully balanced intensive theoretical learning with extensive hands-on application, earning industry-recognized certifications in AWS, Azure, GCP, Cloud Architecture, and DevOps. This comprehensive training was immediately applied to live industry projects, allowing me to translate cutting-edge cloud concepts into practical, production-ready solutions. The experience provided me with a robust foundation in both the principles and real-world implementation of scalable, automated infrastructure, effectively bridging the gap between theory and practice.
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