Satya y
Sr. Cloud DevOps Engineer (Azure & AWS)
- Role
- Sr Cloud Devops Engineer (Azure & Aws) at American Airlines
- Location
- Manchester, NH, US
- LinkedIn followers
- 500 followers
About Satya y
AWS Certified Senior Cloud DevOps Engineer with 5+ years of hands-on experience…
Experience
Sr Cloud Devops Engineer (Azure & Aws)
Jun 2022 — Present · Dallas, TX, US
Designed and implemented AWS Solutions using EC2, S3, EBS, Elastic Load balancer (ELB), VPC, Amazon RDS, Cloud Formation, Amazon SQS, and other services of the AWS infrastructure. Responsible for creating various Cloud Watch alarms that send an Amazon Simple Notification Service (SNS) message when the alarm triggers. Created SNS notifications using S3 events for object loss notifications. Used AWS-CLI to suspend an AWS Lambda function. Used AWS CLI to automate backups of ephemeral data-stores to S3 buckets, EBS. Worked on migrating infrastructure and application from on premises to Azure. Extensive experience in Azure migration like creating Azure VMs, storage accounts, VHDs, Storage pools, migrating on premise servers to Azure and creating availability sets in Azure. Implemented Azure AD using AD connect, configured SSO and multifactor Authentication. Also configured SSO from a Windows 10 based computer which is joined to Azure AD. Implemented and managed AD synchronization. Experienced with deployments, Maintenance and troubleshooting applications on Microsoft Cloud infrastructure AZURE. Installed and Setup Web Servers (Apache and Tomcat), DB Server (MySQL) and MySQL (Master and Slave) Server, Multiple MySQL Instance with different port. Create and setup automated nightly build environment for java projects using MAVEN. Making use of PowerShell, Python and other tools to automate a range of tasks in an OS diverse environment. Experience in using Dockers Swarm and deployed spring boot applications. Created a Continuous Delivery process to include support building of Docker Images and publish into a private repository- Nexus v3. Used Maven scripts to build the source code. Supported and helped to create Dynamic Views and Snapshot views for end users. Developed a stream filtering system using Spark streaming on top of Apache Kafka. Designed a system using Kafka to auto - scale the backend servers based on the events throughput scripting
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