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Vinay
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Vinay

Toronto, Ontario, Canada --:--:--

Vinay is a Senior DevOps Engineer with over 5 years of professional experience supporting AWS and Azure Cloud platforms. He has extensive experience building and managing CI/CD pipelines, and has worked with tools such as Ansible, Maven, Kubernetes, and Docker. He has used both CloudFormation and Terraform for building Infrastructure as Code, and is quite capable of building automated builds/releases as needed. He has also used monitoring tools such as Dynatrace, Nagios, Prometheus, Splunk, and Grafana. Vinay is a passionate engineer that is always pushing himself to learn new technologies and master best practices.

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Skills
Years
1
2
3
4
5
6
7
8
9
10+
Serverless
SonarQube
DevOps
Azure
Chef
Linux
Kubernetes
Confluence
ELK
AWS
Azure DevOps
Terraform
Git
Jenkins
Cloud Native
IAM Keycloak
GitLab
Azure Storage
Nexus
Python
Ansible
Gerrit
Centos
Mesosphere
Ant
Gradle
Windows
Docker
RabbitMQ
Ubuntu
Minikube
OpenShfit
Java
Shell
Kibana
DockerSwarm
Rally
Nagios
Maven
Syslog
Vagrant
EBS
Splunk
MongoDB
Jira
IAM
GitHub
Cloudera
Stash
Glacier
Bash
Hadoop
JUnit
CloudTrail
S3
YAML
Elasticsearch
CloudFormation
ELB
Rancher
Artifactory
ECR
VPC
Prometheus
MySQL
CloudWatch
Grafana
Spring Boot
JavaScript
Postman
Lambda
RDS
Flask
API
EC2
MySQL
DatadogHQ
Node
Bamboo
JSP
Kafka
Puppet
EKS
Typescript
Perl
SOA
PowerShell
Tomcat
SOAP
JSON
WebLogic
REST
MySQL
WebSphere
SharePoint
DynamoDB
KMS
Groovy
Helm
BitBucket
MacOS
Cucumber
API
Selenium
SNS
Spinnaker
Nagios
Zookeeper
Logstash
HTTP
Developer Personality

Independent

Collaborative

Trailblazer

Conservative

Generalist

Specialist

Planner

Doer

Idealist

Pragmatist

Abstraction

Control

100
50
0
50
100
Feature Experience

Microservices

Deployment Automation

CI/CD Pipelines

Release Management

MODERATE
EXTENSIVE
EXPERT
Cultural Experience

Agile

Banking

Telecom

Mining

MODERATE
EXTENSIVE
EXPERT
Portfolio

HCL Technologies

DevOps Engineer

Categories

Work Experience : 2022

Built his expertise in vRealize Orchestrator Workflow for AWS and Amazon Web services including Security Groups, IAM, EC2, S3, ELB, EBS, Policy, VPC, Docker, CloudFormation, JavaScript Technologies, Node.js, Puppet, Jenkins, Vagrant, Apache, Tomcat, Git, and GitHub. Configured AWS cloud using terraform and did continuous deployment through Jenkins and automated cloud formation using Terraform. Refined automation components with scripting and configuration management ansible.

  • Experience in creating Docker containers leveraging existing Linux Containers and AMIs in addition to creating Docker containers from scratch.
  • Extensively used Elastic Load Balancing mechanism with Auto Scaling feature to scale the capacity of EC2 Instances across multiple availability zones in a region to distribute incoming high traffic for the application.
  • Created Apache Directory Server for local network and Integrating RHEL instance with Active Directory in AWS VPC.
  • Used Docker to containerize custom web applications and deployed on Digital Ocean with Ubuntu instances through SWARM Cluster and automated application deployment in the cloud using Docker HUB and
  • Integrated Jenkins with various DevOps tools such as Nexus, SonarQube, Ansible and used the CI/CD system of Jenkins on the Kubernetes container environment, utilizing Kubernetes and Docker for the runtime environment for the CI/CD system to build and test and deploy.

Environment:  AWS EC2, AMI, RHEL, Centos, Ubuntu, Terraform, CloudWatch, Jenkins, Docker Containers, AMIs, RDS, S3, Elastic Load Balancing, VPC, Docker Swarm, Docker HUB, Vagrant, Digital Ocean, Kubernetes, Nexus, SonarQube, Ansible, ELK, Kafka, MySQL, Zookeeper, Logstash, HTTP, Chef, DevOps, LDAP, JavaScript, Puppet, Elasticsearch, Bamboo, Stash, JIRA, GitHub, Artifactory, Java, Perl, Shell.

 

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ERICSSON

DevOps Developer

Categories

Work Experience : 2021

Experience with AWS Lambda workflow implementation using python to interact with applications deployed on an EC2 instance and S3 bucket. Developed microservice onboarding tools leveraging Python3.8 and Jenkins allowing for easy creation and maintenance of build jobs and Kubernetes deployment and services. Build new commit workflow using Git/Gerrit workflow and integration with Jenkins. Excellent & comprehensive knowledge of git repository used for open-source projects and a good understanding of Gerrit, and repo tools needed for branching strategies & cherry-picking process.

  • Created Jenkins CI/CD pipelines for continuous build & deployment and integrated JUnit and SonarQube plugins in Jenkins for automated testing and Coe quality check.
  • worked on the Shared Target Cloud platform which is a Cloud Native network environment based on Ericsson NFVI and CCD.
  • worked on KaaS (Kubernetes as a Service) based on Ericsson CCD for a stable production-grade environment to serve Ericsson’s internal ADP program and Ericsson microservice

Environment: GIT, Gerrit, Docker, Kubernetes, Ansible, Jenkins, Python3, SUSE Linux environment, S3 MINIO, IAM Keycloak, shell/Bash, EFK, HELM, Halyard, Flask, Yaml, JSON, JUnit, Spinnaker, ADP & Microservices, SonarQube, Postman, OSI Network Protocols, Rest API, CloudNative, KaaS, Maven, Gradle, Groovy, RabbitMQ, MongoDB, Hadoop, Cloudera, Kibana, Nagios, Rancher, Prometheus, Grafana,

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CIBC Bank

AWS DevOps Engineer

Categories

Work Experience : 2019-2021

Experience in maintaining AWS EC2 (Elastic Cloud Computing) instances, EBS volumes, snapshots, AMIs, Elastic Load Balancers (ELB), VPC, security Groups, API Gateways elastic IPs, Key pairs, and elastic Cloud watch for different zones in different environments. Developed GIT Hub hooks for the local repository, commit, pull, and push code to remote repositories in GitHub. Standardized, developed, and maintained common development tools and infrastructure, such as CI/CD pipelines, monitoring, cluster management, config management, etc.

  • Automated multiple AWS Services such as EC2, S3, RDS, Security Groups, and KMS using Cloud Formation Templates.
  • Used Kubernetes to orchestrate deployments, scaling, and management of applications using its nodes, Config Maps, selectors, Services, and deployed application containers as Pods.
  • Developed Helm Charts to deploy various applications in Kubernetes clusters which include Datadog, King Kong, Kafka and Kafka Manager, Aqua Security, etc.
  • Implemented and Deployed King Kong as an Ingress-Controller for Kubernetes Clusters which is being provisioned to Application teams.
  • Gathered requirements from application teams and Provisioned DC/OS clusters in AWS Cloud using Ansible

Environment: GIT, GitHub, GitLab, Docker, Kubernetes, Mesosphere, DC/OS, Ansible, Jenkins, Python, Mac OS, and Linux environment, Minikube, CA Rally, AWS, S3, EBS, Elastic Load balancer (ELB), Auto Scaling groups, VPC, IAM, Cloud Watch, CloudTrail, MySQL, Glacier, shell scripting, EC2, RDS, KMS, CloudFormation, Kafka, Helm, SOA, SOAP, REST, JavaScript, JSP, SharePoint, API, SNS, EKS, Spring Boot, ECR, DataDog, Lambda functions.

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Triyas Technologies

Build and Release Engineer

Work Experience : 2016-2019

Assisted developers and QA team with CI/CD builds and deployments to various environments. Troubleshoot various CI/CD build and deployment issues with developers and QA testers. Implemented Software Release Management strategies for various applications according to the agile process.

  • Responsible for managing release cycles for both internal and external web applications.
  • Created automated scripts for systems administration using BASH and Python.
  • Created CI/CD Pipelines in Azure DevOps environments by providing their dependencies and tasks. Also, have experience in implementing and managing continuous delivery systems and methodologies on Azure and created END-END Automation with CI Procedures using Jenkins & automated Maven builds by integrating them with Continuous Integration tools Jenkins.

Environment: Python, Bash, Shell, Git, Azure, Docker, Gradle, CI/CD, Splunk, Nagios, Nexus, OpenShift, Windows and Linux, Ansible, Terraform, Chef, Kubernetes, Jenkins, Maven, Ant, Agile, Azure DevOps, Java, PowerShell, Azure Storage.

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