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Akhrorbek Bakhramov - AWS Cloud Engineer

[email protected]

Location: Remote, Remote, USA

Relocation: Yes

Visa: GC

Akhrorbek Bakhramov AWS Cloud Engineer (469)351-3331 [email protected] St. Louis, MO Yes GC PROFESSIONAL SUMMARY: IT professional with over 7+ years of industry experience over software configuration management, DevOps as well as Cloud DevOps and Continuous Delivery/Continuous Integration (CI/CD). DevOps engineer with in - depth knowledge of Cloud Computing strategies & expertise in the areas of Build and Release management, CI/CD pipeline, Configuration management, Automation, containerization, cloud solutions, Linux Administration and maintaining cloud environment. Experience in migrating on-premises applications to AWS and configured subnets as per the project requirement also performed PowerShell scripting to do Patching, Imaging, and Deployments in AWS. Experience in provisioning, configuring, and troubleshooting of various AWS cloud services such as EC2, S3, RDS, ELB (Load Balancers), ASG, SNS, VPC, Route53. Experience running web scale services on Amazon Web Services (AWS). Experience in working on source controller tools including Subversion (SVN) IBM Clear case, Perforce, and Git. Focus on branching, tagging, and maintaining the version across the Environments using SCM tools like Git, GitHub, bitbucket and Subversion (SVN) on Linux and Windows platforms. Extensively worked on Hudson, Jenkins, and TeamCity for continuous integration and for End-to-End automation for all build and deployments and Knowledgeable with Ansible Playbooks, modules, and roles. Experience in automating image creation process in Azure by using template and CI/CD process Packer, Ansible and Azure DevOps. Ability to manage all aspects of the software configuration management process including code compilation, packaging/deployment/release methodology and application configurations. Experience using bug tracking systems including JIRA, Bugzilla, HP Quality Center, and IBM ClearQuest. Created Cloud Formation template to build a repeatable process to stand up various application deployment environments in AWS. Configured most of the GitLab CI deployments into Kubernetes by writing yml files pom.xl files deployment .yml files. DevOps experience building CI/CD pipelines and automation. Hands-on experience with configuration management tools such as Chef, Ansible version control using GIT, SVN containerization using Docker and Kubernetes, continuous integration using Jenkins, Bamboo, and working on build tools like ANT and Maven. In-depth understanding of the principles and best practices of Software Configuration Management (SCM) in Agile, SCRUM, Waterfall methodologies. Technical Skills Programming Languages JavaScript Scripting Shell, Bash Frameworks Angular 5, Express JS, NodeJS CICD Gitlab CICD, GitHub Action, Bitbucket, Jenkins Management Tools Ansible Versioning Tools GIT Databases MYSQL, PostgreSQL, MongoDB, Virtualization Docker Orchestration Kubernetes Infrastructure as a Code Terraform Cloud Technologies AWS, Azure Web Servers Web logic, Apache Tomcat, Linux, Operating Systems Windows (NT), Mac, Ubuntu Professional Experience: Client: Charter Communications - St. Louis, MO Jan 2022 to Present Role: AWS Cloud Engineer Project Description: Charter Communications, Inc. is an American telecommunications and mass media company that offers its services to consumers and businesses under the branding of Spectrum. Developed a complete user interface and pre-validation codes for a mobile based application, Responsibilities: Experienced in leveraging AWS Services such as EC2, auto-scaling, and VPC to build secure, highly scalable, and flexible systems that handle unexpected Load bursts. Experience in AWS platform and its features including IAM, EC2, EBS, Cloud Watch, Cloud Trail, Cloud Formation AWS Configuration, CloudFront, S3, Route53. Installed and configured Logstash and File Beat on Linux and Application servers for transferring logs to ElasticSearch. Experience in deploying the Kubernetes environment on the AWS using Kops and managed the rolling deployments of the patched docker images onto the cluster by tweaking the Pod definition. Established pipelines to seamlessly deploy apps into Kubernetes by creating centralized templates based on the app requirement (NodeJS, java, python, etc.) Developed Dev/Test/Prod environments of different applications on AWS by provisioning Kubernetes clusters on AWS EC2 instances and S3 using Jenkins. Having experience in managing and enhancing the build infrastructure for global software development engineering teams including build scripts, continuous integration, and deployments. Having experience in Bootstrapping instances using chef and integrating with autoscaling and managing the configurations of multiple servers using chef recipes. Having experience in creating Docker files to manage customized containers, docker inspect and docker commit to capture the file changes/settings into a new image and pushing into docker hub Having experience in building out the CI/CD Pipelines for nightly builds and installed and configured SonarQube with build process for better code quality code metrics in successful deployments Ensure fast troubleshooting, resolution, root-cause analysis, and improvement measures in case of performance management problems from the logs of monitoring tools like New Relic and Grafana technology stack. Develop platform components using scripting languages like Terraform, ruby & python. Working on Agile methodology and Track user stories via Digital.ai platform and Maintained documentation in share point. Having experience in patching and supporting Linux servers with NoSQL Database Developed Grafana Dashboard as a time series Database and Kairos as a Cassandra backend to implement customized metrics the API Level Logs. Automated infrastructure in AWS using Amazon Web Services. Deployed Puppet to completely provision and manage AWS EC2 instances, volumes, DNS, and S3. Environment: Java, Micro services, GitHub, Chef, Ansible, Puppet, Jenkins, Bamboo, Tomcat, Apache, Python, Maven, Nexus, Linux, Docker, Kubernetes, AWS EC2, AWS SQS, AWS S3, AWS RDS, AWS Cloud Watch, Jboss, WebLogic, Jboss, Apache, Team city, GitHub, JIRA, RPM, Rally, ServiceNow, Elastic Search, Log stash, Splunk, AWS RedShift, Azure. Client: Cisco , CA July 2018 Dec 2021 Role: AWS Engineer Project Description: Cisco Systems, Inc. is an American multinational technology conglomerate headquartered in San Jose, California. It engages in the design, manufacture, and sale of Internet Protocol based networking products and services related to the communications and information technology industry. Responsibilities: Experience in Infrastructure Development and Operations involving AWS Cloud Platforms EC2, EBS, S3, VPC, RDS DynamoDB, SES, ELB, AWS Lambda, Route53, Auto-scaling, Code Pipeline, CloudFront, Cloud Formation, Cloud Watch, Elastic Cache, IAM, Redshift, and SNS. Worked closely with QA Teams, Business Teams, and DBA team and Product Operations teams to identify QA and UAT cycles release schedule to non-production and production environments. Having experience in deploying and monitoring AWS resources (EC2, VPC, ELB, S3, RDS) using Chef and Terraform and worked with Chef Automation to create infrastructure and deploy application code changes autonomously. Having experience in migrating existing AWS infrastructure to Server-less architecture using API Gateway, Lambda, and DynamoDB and deployed AWS Lambda code from Amazon S3 buckets using Cloud Formation Templates Responsible for design and maintenance of the Subversion/GIT Repositories, views, and the access control strategies and used MAVEN as Build tool for building the deployable artifacts from source code Extensively worked on CI/CD pipeline for code deployment by engaging different tools (Git, Jenkins, Code Pipeline) in the process right from developer code check-in to Production deployment Using API server as a key component and serves the Kubernetes API using JSON over HTTP, which provides both the internal and external interface to Kubernetes. Written Gitlab-ci.yml file to configure the CI/CD pipeline in AWS and implemented Clair for security scans in GitLab CI pipeline by configuring through Gitlab-ci.yml file. Experience in Splunk and ELK for centralized logging and then store logs and metrics into an S3 bucket using lambda functions. Having experience in developing Ansible playbooks to automate the installation and configuration of Tomcat, Httpd, WebLogic on AWS EC2 instances & On-Premise VM s Implemented a production ready auto scaling Kubernetes infrastructure for load balancing and integrated Docker container orchestration framework by creating pods, controlling config maps and troubleshooting pods through SSH Developed Python Monitoring scripts and PowerShell scripts to automate the collection and analysis of MySQL. Environment: AWS, LB, API Gateway, IAM, ELB, S3, MFA, Ansible Python, Jenkins, Remedy, Confluence, Shell Scripts, Apache Web Server, Cloud computing tools. Client: Premier Inc, MD July 2016 to June 2018 Role: Build & Release Engineer Project Description:This project helps some of the brightest minds in technology, merchandising, marketing, supply chain, talent and more, we are reimagining the intersection of digital and physical shopping to help achieve that mission. Responsibilities: Worked on Block Infrastructure to perform Virtualization using RHEL/SUSE servers. Worked on Installation of VMware and creating Virtual Machines from scratch and from templates and Assisted in troubleshooting applications for Load balancing. Worked with SSL, RSA, PKI. Deployed and Configured Automation tools like Puppet and Chef. Worked on configuring Puppet master servers and installing Puppet client software on Linux servers. Deployed Puppet, Puppet Dashboard, and Puppet DB for configuration management to existing infrastructure. Worked on Installation and Configuration of Chef Server and Chef-client (Nodes) Deployed and maintained infrastructure using Chef cookbooks and recipes Configured yum repository server using Chef on RHEL 5/6.x in VMware environment. Worked on Shell scripting. Installed Nagios on the Global Servers and developed Bash Scripts for Monitoring Point of view. Working with AWS Cloud computing and involved in creating AWS instances and deployed Linux and Ubuntu on AWS environment and Expertise in migrating applications on AWS. Worked on Keystone identity service, Swift object storage service, glance image service, Cinder block storage service and Networking service. Environment: Java, J2ee, Eclipse, Tomcat, Apache, Redhat, Oracle 11g, Jenkins, System architecture, Perl, Ruby JIRA, Maven, Ant, Git, Ubuntu, Windows, AWS, Ruby, Python, Chef, Windows. 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