Pivotal role in migrating on-premises services to cloud environments, specifically Oracle Cloud Infrastructure (OCI) and Amazon Web Services (AWS). Utilized Terraform and Terragrunt to define, provision, and manage cloud infrastructure. Created reusable and modular infrastructure code to maintain consistency and reduce duplication. Implemented Checkov to analyze infrastructure code for security violations. Set up and configured GitHub Actions for continuous integration and continuous deployment (CI/CD) pipelines, automating testing, building, and deployment processes. Used Ansible for configuration management and automation of infrastructure tasks. Developed playbooks to automate the setup and configuration of cloud resources and services. Developed Python scripts to automate various tasks with Ansible, enhance deployment of infrastructure processes with Terraform, and integrate different tools and monitoring services. Deployed and managed containerized applications using Kubernetes. Configured clusters, managed workloads, and ensured high availability and scalability of applications. Used Helm charts to define, install, and upgrade Kubernetes applications, maintaining a consistent and repeatable deployment process. Implemented monitoring solutions to track the performance and health of cloud infrastructure and services. Used tools such as Prometheus, Grafana, and AWS CloudWatch. Identified and resolved issues related to cloud infrastructure, networking, and application performance. Conducted root cause analysis and implemented corrective actions to prevent recurrence. Worked closely with development teams to integrate new features and resolve issues. Maintained comprehensive documentation of infrastructure configurations, deployment processes, and troubleshooting guides. Technology Stack: Oracle Cloud Infrastructure (OCI), Amazon Web Services (AWS), Kubernetes, Helm, Docker, Terraform, Checkov, Terragrunt, GitHub, Ansible, Python, AWS CloudWatch, Linux.

Ensuring the reliability, security, and efficiency of the bank’s IT infrastructure and software delivery processes by using Azure Key Vault, Service Principals, and NSGs. Used Terraform to define, provision, and manage the bank's cloud infrastructure. This includes virtual networks, storage accounts, databases, and other resources on Azure. Set up and managed CI/CD pipelines using Azure DevOps and Jenkins to automate the build, test, and deployment processes integrated with the bank’s existing systems. Implemented Azure Application Insights to monitor the performance and health of banking applications. Set up custom metrics, alerts, and dashboards to proactively identify and address issues. Utilized Azure Databricks for big data processing and analytics. Set up and managed Databricks clusters, and integrated them with data sources like Azure Data Lake and SQL databases. Deployed and managed containerized applications using Azure Kubernetes Service (AKS). Monitored the health of Kubernetes clusters. Set up Azure Event Hubs for real-time data ingestion and processing. Developed and deployed serverless applications using Azure Functions. Used them for event-driven tasks such as processing transactions, data validation, and other background operations. Worked closely with development teams to integrate new features and resolve issues. Technology Stack: Azure DevOps, Kubernetes, Docker, Terraform, SonarCloud, CI/CD, Jenkins, Linux.

Developed reusable Terraform modules to standardize and simplify the deployment process across multiple environments (development, staging, and production). Designed and implemented CI/CD pipelines in Azure DevOps to automate the build, test, and deployment processes for .NET applications, ensuring continuous integration and delivery of code changes. Integrated Azure DevOps with other tools like Jenkins for specific legacy processes, ensuring a seamless workflow. Managed and versioned application artifacts using Azure Artifacts, ensuring consistent deployment and rollback capabilities. Integrated SonarCloud for code quality analysis and GitKraken for advanced Git repository management. Managed and versioned application artifacts using Azure Artifacts, ensuring consistent deployment and rollback capabilities. Deployed and managed containerized .NET applications using Azure Kubernetes Service (AKS), ensuring high availability, scalability, and efficient resource management. Used Lens for Kubernetes cluster management and visualization, enhancing operational efficiency. Implemented New Relic for application performance monitoring and observability, ensuring optimal performance and quick issue resolution. Configured Azure Service Principals for secure access to Azure resources, adhering to the principle of least privilege. Developed automation scripts using Ansible and Python to automate repetitive tasks such as infrastructure provisioning. Worked closely with development teams to integrate new features and resolve issues. Technology Stack: Azure DevOps, Kubernetes, Docker, Terraform, SonarCloud, CI/CD, GitKraken, Linux.

Used Terraform to define, deploy, and manage scalable and secure cloud infrastructure on GCP. This included provisioning Virtual Private Cloud (VPC), Subnets, and other essential resources. Implemented CI/CD pipelines in GitLab to automate the build, test, and deployment processes for various applications, ensuring continuous integration and delivery of code changes. Utilized SonarCloud for code quality analysis and SwaggerHub for API documentation and management. Deployed and managed containerized applications using GKE, ensuring high availability, scalability, and efficient resource management. Used Helm Charts for defining, installing, and upgrading Kubernetes applications, streamlining deployments and configuration management. Provisioned virtual machine instances on Compute Engine for various workloads, ensuring optimal performance and reliability. Developed serverless solutions using Cloud Functions for event-driven processes and App Engine for scalable web applications. Implemented Pub/Sub for real-time messaging and event-driven architectures, enhancing the responsiveness of retail applications. Leveraged BigQuery for data warehousing and analytics, supporting business intelligence and data-driven decision-making processes. Managed Identity and Access Management (IAM) policies and used Secret Manager to securely manage secrets, keys, and certificates, ensuring compliance with industry standards and regulations. Configured Grafana for visualizing and monitoring system performance and metrics, ensuring quick detection and resolution of issues. Technology Stack: GCP, Kubernetes, Compute Engine, Cloud Functions, App Engine, Cloud Storage, BigQuery, Pub/Sub, VPC, Secret Manager, API Gateway, Apigee, Docker, Helm Charts, Terraform, GitLab CI/CD, SwaggerHub, API Gateway, Apigee.