About Me
- Red Hat And AWS Certified Engineer having more than 9+ years of overall professional IT experience and 4+ years of experience in dealing with Cloud service providers like AWS & GCP, DevOps Implementation, Build & Release engineering and ...
- Technologies used throughout my career include - AWS & GCP services | Docker | Kubernetes | Jenkins | Ansible | Linux | Git | Red Openshift | Python | PHP | MySQL | DataDog | NewRelic | Nginx | Networking | ElasticSearch | Chef and many more.
- Learned new technologies and tools, and introduced them to the company; in which way it helped the company build up an agile development environment. It improved the product quantity and work efficiency.
Show MoreSkills
Portfolio Projects
Description
The following responsibilities involved:
- Created a release pipelinethat automates your software delivery process usingAWS CodePipeline.
- Connected a source repository, like AWS CodeCommit o thepipeline.
- Automate code deploymentsby connecting the pipeline toAWS CodeDeploy
- Plugged in a build service such as Jenkinswhen you complete the Four-Stage Pipeline Tutorial
Description
- Amazon EKS was used to deploy a highly available Kubernetes control plane.
- Then kubectl' was configuredto interact with the Kubernetes infrastructure.
- Using AWS CloudFormation, a cluster of worker nodes on Amazon EC2 was launched,
- Then ourapplication onto the cluster were deployed
Description
- Createed Static WebsiteBuild a static website, using Amazon Simple Storage Service (S3) that serves static content (images, static text, etc.) for the website.
- BuiltDynamic Websiteto host the application logic on a web server, using an API backend microservice deployed as a container through AWS Fargate.
- Stored Mysfit DataExternalize all of the mysfit data and persisted it with a managed NoSQL database provided by Amazon DynamoDB.
- Added User Registration for registration, authentication, and authorization
- Captureduser behavior with a clickstream analysis microservice that will record and analyze clicks on the website using AWS Lambda and Amazon Kinesis Firehose.
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