Cloudops Infrastructure Engineer
Current• Creates new AWS accounts to required teams and provide infrastructure, support which migrate to AWS cloud.• Design, Develop and support different architectural models for our scalable data processing.• Experience in working with Terraform for automating VPCs, ELBs, security groups, S3 bucketsand integrated Terraform with Jenkins and GIT to achieve continuous integration and test automation framework.• Uses Terraform as a third-party tool to create new accounts in AWS and… Show more • Creates new AWS accounts to required teams and provide infrastructure, support which migrate to AWS cloud.• Design, Develop and support different architectural models for our scalable data processing.• Experience in working with Terraform for automating VPCs, ELBs, security groups, S3 bucketsand integrated Terraform with Jenkins and GIT to achieve continuous integration and test automation framework.• Uses Terraform as a third-party tool to create new accounts in AWS and Azure.• Worked on Terraform cloud on integration of AWS, Azure, and GitHub.• Deploy and manage Azure compute resources.• Worked on creating EC2 instances, S3 Buckets, SG policies, VPC (Virtual Private Cloud), and IAM roles.• Monitoring of Cloud Watch logs and Cloud Trail for trouble shooting issues.• Hands on experience on GitHub repo and Build tools (Jenkins).• Handled all cloud related queries and drive it to the next level of effectiveness to support current and future requirements.• Design, implement, deploy, and maintain security, data capacity, node forecasting and planning.• Provide architectural guidance, plan, and create roadmaps for the Cloud architecture.• Worked on JIRA (Stories and enhancement requests), incidents, and provided on call support.• Worked with business/user groups for gathering the requirements and working on the creation and development of pipelines.• Experience in managing CI/CD Pipelines.• Experience in managing containerization Ecosystem using Amazon EKS.• To build the batch data pipelines we used airflow and to build the streaming data pipelines we have used the Kafka.• Developed Spark Streaming script which consumes topics from distributed messaging source Kafka and periodically pushes a batch of data to spark for real-time processing• Worked on developing the process and ingested the data in Azure cloud from web service and load it to Azure SQL DB. Show less