As a dedicated and strategic AWS and DevOps Engineer, I am passionate about transforming complex business needs into innovative, scalable, and cost-efficient cloud solutions. My expertise lies in analyzing existing environments, identifying optimal technologies, and crafting effective and detailed technical blueprints to guide the deployment and management of cloud-based applications. With a keen eye for detail and a strategic mindset, I excel in designing robust architectures, automating CI/CD pipelines, and optimizing infrastructure costs while maintaining clear communication with stakeholders throughout the project life-cycle. I am committed to bridging the gap between technical and non-technical stakeholders, ensuring their diverse needs are met and effectively integrated into project plans. My day-to-day tasks involve maintaining applications on AWS, leveraging containerization tools like Docker and Kubernetes, automating infrastructure provisioning with Terraform, and monitoring using CloudWatch and ELK Stack. I thrive in leadership roles, guiding teams through design reviews, concept validation, and continuous process improvements while advocating for innovative solutions that align with strategic business objectives.
Issued 17/02/25
Github
Issued 11/17/24
Amazon Web Services
Issued 7/16/24
Cisco
Issued 2/23/21
Amazon Web Services
Issued 7/18/24
Amazon Web Services
Issued 8/24/24
Amazon Web Services
Issued 8/24/24
Coursera - LearnQuest
Issued 7/01/24
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● Github
As a strategic DevOps Engineer, I specialize in transforming complex business needs into scalable, cost-efficient cloud solutions. I excel in analyzing environments, selecting optimal technologies, designing robust architectures, automating CI/CD pipelines, and optimizing infrastructure costs, all while maintaining clear stakeholder communication.
AWS AND DEVOPS ENGINEER
YEAR
AWS AND DEVOPS ENGINEER
YEAR
2019
CHHATRAPATI SHAHU JI MAHARAJ UNIVERSITY, KANPUR
2013
MADHYA PRADESH BOARD, NAGDA
The Jenkins CI/CD pipeline demonstrates a simple yet effective workflow for automating the development and deployment of a Django application. This project integrates GitHub for version control, Docker for containerization, and Jenkins for orchestration, creating a reliable pipeline to automate build, test, and deploy stages. While not production-ready, this project showcases the fundamental principles of CI/CD and highlights how automation can eliminate manual tasks, reduce human errors, and accelerate iterative development. The pipeline serves as a foundation for further enhancements, offering a scalable starting point for evolving project needs and more complex deployments in the future.
This GitOps pipeline demonstrates an automated deployment workflow that connects GitHub repositories to Kubernetes clusters using ArgoCD. The integration combines GitHub's version control capabilities with Kubernetes container orchestration and ArgoCD's continuous deployment features. Following GitOps best practices, the system maintains application state through declarative configurations while offering key functionalities like automatic synchronization, configuration drift detection, and self-healing mechanisms. Although this implementation is intended for demonstration purposes rather than production use, it effectively illustrates how automated pipelines can simplify deployments and reduce manual tasks. The architecture serves as a foundation for building more advanced deployment systems, showcasing the value of GitOps methods in modern DevOps practices.