• Architect and implement automated database solutions in Azure and GCP. • Deploy, configure, and integrate native database services (Azure SQL, Azure PostgreSQL, Google Cloud SQL) and MongoDB Atlas. • Develop and maintain infrastructure-as-code using Terraform, adhering to best practices. • Build and maintain Python automation scripts for provisioning, integration, lifecycle management, and monitoring. • Apply GitOps principles to infrastructure and application deployment. • Utilize AI-assisted development tools, such as GitHub Copilot, to enhance code quality and automation. • Collaborate with cross-functional teams to define requirements and ensure compliance with governance and regulatory standards. • Optimize cloud infrastructure for performance, reliability, and cost efficiency. • Design and manage CI/CD pipelines for data workloads, including automated testing and deployment validation. • Implement cloud cost optimization strategies and performance tuning. • Document architectures, automation workflows, and operational procedures. • Troubleshoot and resolve complex issues related to data platform infrastructure and automation. • Demonstrate strong troubleshooting skills and experience operating in large-scale, enterprise cloud environments.