Data Modeling Techniques and Methodologies Professional

• Design and implement cloud infrastructure and platform solutions.

• Apply data modeling techniques to support cloud-based architecture design.

• Build and validate proof of architecture (PoC/PoA) for cloud solutions.

• Ensure scalability, reliability, and availability of cloud systems.

• Work with AWS, Azure, or Google Cloud platforms for deployment.

• Implement Infrastructure as Code using Terraform or CloudFormation.

• Manage containerized environments using Docker and Kubernetes.

• Troubleshoot cloud infrastructure and application issues.

• Collaborate with stakeholders for requirement gathering and solution design.

• Optimize cloud systems for performance and cost efficiency.