Lokesh, Datadog Dashboard Engineer | Bench Resource on Contract

Lokesh (RID : 4kv2lpw8x3sl)

Datadog Dashboard Engineer

Location : Bengaluru, India

Experience : 5 Year

Rate: $14 / Hourly

Availability : Immediate

Work From : Offsite

Category : Information Technology & Services

Shortlisted : 1

Total Views : 36

Key Skills

Datadog Cloud Services Cloud Front Cloud Watch AWS Amazon Cloud

Discription

Cloud Admin/DevOps Engineer

Name: LOKESH B

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Professional Summary:

Cloud Engineer with 5+ years of experience in Windows Administration, Configuration Management, Continuous Integration, Continuous Deployment and Cloud Implementations.
Hands on experience in Azure Development, worked on Azure web application, App services, Azure storage, Azure SQL Database, Virtual machines, Azure AD, Azure search, and notification hub.
Designed, configured, and deployed Microsoft Azure for a multitude of applications utilizing the Azure stack (Including Compute, Web & Mobile, Blobs, Resource Groups, Azure SQL, Cloud Services, and ARM).
Expertise in Microsoft Azure Cloud Services (PaaS & IaaS), Azure Monitoring, Key Vault, Visual Studio Online (VSO) and SQL Azure.
Experience in Designing Azure Resource Manager Template and in designing custom build steps using PowerShell.
Good Experience on AWS platform and its dimensions of scalability including EC2, S3, EBS, VPC, AMI, RDS, IAM, Route 53, Auto scaling, Cloud Front, Cloud Watch, Cloud Formation, Security Groups and Proficient in DevOps essential tools like Ansible, Docker, Subversion (SVN), GIT,Jenkins, Ant, Maven, Terraform.
Good Experience in cloud automation using AWS cloud Formation Templates, storage using S3 bucket and configuring instance backups to S3 Setup OpenStack proof of concept (POC) in staging.
Expertise in managing Amazon instances by taking AMIs and performing administration and monitoring of Amazon instances using Amazon Cloud Watch.
Experience on monitoring tools such as, Datadog, Prometheus and Grafana.
Forwarding logs and enabling lambda to Datadog, creating monitors for applications, and setting up metrics, alerts with terraform.
Good Experience in Branching, Merging, Tagging, and maintaining the version across the environments using SCM tools like GIT, Subversion on Linux platforms and Involved in the Branching Strategy and continuous integration management using Jenkins and Setting up Continuous Integration for major releases in Jenkins.
Expertise in using the Docker for virtualization, Run and Deploy the application securely to fasten the Build/Release Engineering. Virtualized the servers using the Docker for the test environments and dev-environment needs.
Good Experience in working with the cluster management and orchestration features embedded in the Docker Engine which are built using Swarm Kit and worked on creation of custom Docker container images, tagging, pushing the images and Dockers consoles for managing the application of life cycle.
Good Experience in with Kubernetes to provide a platform for automating deployment, scaling, and operations of application containers across clusters of hosts and managed containerized applications using its nodes, config maps, and services.
Well versed with provisioning the highly available EC2 Instances using Terraform and AWS cloud formation.