->Working on developing the Patch Automation tool which is responsible to Patch the ec2 servers. You just need to schedules the job before the patching window and the automation tool will stop the applications, Patch the servers and then after a reboot, will Start the applications as well. We are using Ansible collections from Stopping the applications to Start them, to deploy the tool and modifications in the tool. -> Working on developing CI/CD pipelines via Jenkins to provide the automation for onboarding the new customers. In this we are using Jenkins pipeline to provision the environment over AWS starting from Creating the customer specific VPC till installing the applications. To provision the environment over AWS, IAAS Tool, Terraform is employed. To perform the OS-Level installations, we are using Ansible collections. Pipeline created also involve use of Python, Java, AWS CLI-> Working on Updating the Amazon EKS Clusters which involve Helm Releases modifications, other Kubenetes components like RoleBinding, PodSecurityPolicy, Cluster Role, RBAC changes to complete the prerequisites and then upgrade of Cluster.

Axway Amplify API Solution

• Worked on Power BI for reporting purpose, SQL to handle the data, Azure Datafactory(ADF) to provide automation to the data.• Used one database(Staging) to pull data from various sources with the help of ADFand then based on requirements, filtering and cleaning of data, we move it to anotherdatabase(Mart).• Used Mart database in reporting tool so, that cleanness in code can bemaintained.• Used Views to pull data rather than tables in reporting tool as they are fast.• Used pipelines in ADF for pulling data, refreshing Power BI Dataset.• Used Azure Key vault for secure authentication and maintaining confidentiality.