Uzair Bagwan

Uzair Bagwan

Internship Trainee

Followers of Uzair Bagwan183 followers
location of Uzair BagwanPune, Maharashtra, India

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  • Timeline

  • About me

    DevOps Engineer || Immediate Joiner || AWS Web Services || Linux || Git || Docker || Kubernetes || Jenkins || Terraform || Ansible || Grafana || Prometheus || Shell Scripting || Google Cloud Platform

  • Education

    • Savitribai Phule Pune University

      2019 - 2022
      Bachelor's degree Computer Science 8.36

      Activities and Societies: Gaming,Football,Gymm I am a graduate of computer science with special interest in System Administration and some programming language and aspiring to become a Linux admin and DevOps Engineer fascinates me and I love connecting with people who share my passion with same Interest

    • AKI's Poona College of Arts, Science & Commerce

      2017 - 2019
      Higher secondary school First class

      Activities and Societies: Football , Swimming ,Gymm

    • Crescent High School & Junior College

      2007 - 2017
      Secondary First Class with Distinction

      Activities and Societies: Football and Volleyball , Library ,Quiz competition Involvement in innovative things passion towards sports and curiosity to learn new things and experiment them

  • Experience

    • Cloudblitz | Powered By Greamio

      Feb 2021 - Oct 2021
      Internship Trainee

      Provisioned and configured Linux servers, Created and managed users in linux.  Worked on NFS FTP file systems in Linux, Created VM’s and EC2 Instances of Ubuntu and Windows.  Launched multiple ec2 instances and implemented auto-scaling and load balancing to it.  Stored and maintained Logs of the actions of users in S3 Bucket. Monitored Metrics and Logs using AWS Cloud watch.  Configured VPC implemented VPC peering and hosted a secure zone in AWS  Written Docker files to build custom Docker images. Managed docker registries for storing multiple images  Used Grafana for creating custom dashboards, Analyzing data and metrics using Prometheus  Set-upped Loki for logging and monitoring and integrated with Grafana for Dashboards, having knowledge of PromQL query language.  Monitored Kubernetes through Kubernetes events, Kubernetes Dashboard and Cloudwatch.  Used to support the team in different tasks and used to Install and configure tools required in automation Show less

    • Confidential

      Jan 2022 - Mar 2024
      DevOps Engineer

      Involved in designing and deploying multitude applications utilizing almost all AWS stack (Including EC2,Route53, S3, RDS, IAM) focusing on high-availability, fault tolerance, and auto-scaling in AWS Cloud Formation.☆Setup and build AWS infrastructure various resources, VPC, EC2, S3, IAM, EBS, Security Group, Auto Scaling, and RDS.☆ Worked on Amazon AWS EC2 cloud services for installing, configuring, and troubleshooting on various Amazon images like Amazon Linux AMI, Red hat Ubuntu.☆ Launched Amazon EC2 Cloud Instances using Amazon Images (Linux/ RHEL) and configuring launched instances with respect to specific applications.☆ Responsible for Continuous Integration (CI) and Continuous Delivery (CD) process implementation-using Jenkins.☆ Built deployment pipelines using Jenkins as a frontend for continuous deployment to local staging and test environments and production environments on-demand, using a combination of AWS tools.☆Managing Containers using orchestration or docker management tool Kubernetes (k8s).☆ Responsible for design and maintenance of the GIT Repositories, views, and access control strategies.☆ Managed version control tool GIT to version code changes to help developers/programmersbranch/merge/revert code.☆ Monitoring & Report Generation activities for Servers and Network devices.☆ Attach EBS Volume on EC2 Instance & Create Logical Volume Management (LVM) on Centos linux machine.☆ Daily, Weekly & Monthly Server backup Restore on S3.☆ Cron and at job scheduling and Restore server backup of Daily,Weekly & Monthly on S3.☆ Created Test cases for Testing functionality of Software.☆ Working on Serverless Computation used Lambda function and DynamoDB as a Backend and for Frontend S3 service and API gateway.☆ Deployment by using code pipeline with help of CloudFormation template and Step Function execution.☆ DevOps Environment: Git, Jenkins, Github, Docker, Maven, Apache Tomcat, Nginx, Linux, Kubernetes. Show less

  • Licenses & Certifications