Usman Tariq

Usman Tariq (- Devops Engineer - linkedin.com/in/usman-tariq-1b- OBJECTIVE To pursue a career in a leading organization providing an environment to boost up my technical abilities and promote my managerial acumen to the maximum, where I can make full use of my knowledge and skills to be helpful for the organization to achieve its goals and to grow along with the organization. RELEVANT SKILLS Kubernetes AWS Jenkins Vagrant VMware Postgres Jupyter Notebook Chef Linux/Windows Pandas Docker Ansible Terraform Dynatrace/Datadog/Prometheus/Grafana Numpy Git/BitBucket Nginx Python C++/C scikit-learn PROFESSIONAL EXPERIENCE Hybytes: Devops Engineer, March 2022–Present          Automate repetitive tasks within the technical infrastructure to streamline and improve overall quality through the high availability of resources - resulting in a 36% reduction in support times. Developed strategy to migrate Dev/Test/Production from an enterprise VMware infrastructure to the laaS Amazon Web Services (AWS) Cloud environment. Responsible for Continuous Integration (CI) and Continuous Delivery (CD) process implementation using Jenkins along with Shell scripts to automate routine jobs. Involved in design and deployment of multitude of Cloud services on AWS stack such as EC2, Route53, S3, RDS, Dynamo DB, IAM, while focusing on high-availability, fault tolerance, and auto-scaling in AWS CloudFormation. Automated the cloud deployments using AWS cloud Formation Templates. Configured local Maven repositories and multi-component ANT projects repositories and scheduled projects in Jenkins for continuous integration. Docker are integrated into various tools like AWS, Ansible, Chef, Vagrant, Jenkins & VMware containers. Worked on infrastructure with Docker containerization. Expertise in writing new modules in order to support new functionality in Terraform. Also Expertise in terraform for multi cloud deployment using single configuration.  For Implement automation and provisioning frameworks using Ansible. Architected and implemented automated cloud infrastructure using Chef.  Worked on Jenkins for continuous integration and for End-to-End automation for all build and deployments. Xisys: Devops Engineer, December 2020–February 2022    Design of Cloud architectures for customers looking to migrate or develop new PaaS, laaS, or hybrid solutions utilizing Amazon Web Services (AWS) Responsible for integrating development teams by managing builds, documenting the development efforts and working with Production support team in releasing the builds on schedule. Mentoring fellow team members to release the builds and drive daily activities. Build maintained and scaled infrastructure for production, QA and dev environments for a web-app. Managing web apps by installing/upgrading, deploying war files, configuring/updating data source connections and config property files on all non-prod servers.        Leveraged AWS Cloud services such as EC2, auto-scaling and VPC to build secure, highly scalable and flexible systems that handled expected and unexpected load bursts. Deployed elastic Kubernetes service on Aws for the Application relying on the Micro services. Create, maintain and customize complex JIRA project configurations including workflows, custom fields, permissions and notifications. Designed chef cookbooks & wrote ansible playbooks to manage configurations and automate installation process. Coordinate/assist developers with establishing and applying appropriate branching, Continuous Delivery is being enabled through Deployment into several environments of Test, QA, Stress and Production using Jenkins. Written Selenium scripts and used them for unit testing and integration testing. Installed, Configured and Managed Monitoring Tools such as Dynatrace, datadog, Nagios, Cloudwatch for Resource Monitoring. Empiric.ai: Devops Engineer, January 2019–November 2020   Supported 200+ AWS Cloud instance's and used AWS command line Interface to manage and configure various AWS products. Coordinating Release effort amongst various teams (Development, QA, performance Testing and Production) in geographically separated environment. Worked on Build and deploy software artifacts and code across multiple engineering environments and the production environment.  Built deployment pipelines using Jenkins as a frontend for continuous deployment to local staging and test environments and to production environments on demand, using a combination of Ansible, AWS tools, and shell scripting. Participate in deploying, automating, maintaining and managing AWS cloud based production system, to ensure the availability, performance, scalability and security of productions systems.     Collaborated with development support teams to setup a continuous delivery environment with the use of Docker. Followed agile principles and used JIRA for maintenance and Bug development tasks. Implemented CI and CD for database using Jenkins. Installed Docker Registry for local upload and download of Docker images and even from Docker hub.  Building scalable applications using Docker and Kubernetes and building analytics and monitoring solutions with visualization (Nagios, Prometheus, Grafana).  Develop automation processes to enable teams to deploy, manage, configure, scale and monitor their applications through the use of AWS - ECS, EC2, RDS, S3, ELB, ECR, CodeBuild, CodeDeploy, CloudWatch, CloudFormation etc.  Extensively involved in infrastructure as code, execution plans, resource graph and change automation using Terraform. Managed AWS infrastructure as code using Terraform.   Generated and maintained the Project SCM plan. Created hooks and managed permissions on the branches for GIT. Designed and implement a central dashboard with mechanism for collecting alerts. Created monitors, alarms and notifications for EC2 hosts using Cloud Watch. Engro Corporation: Data Scientist, October 2017–December 2018         R, Python programming for Data cleaning, manipulation, Data Analysis for Explanatory and Trend Analysis Report etc. Transformed a raw data with a custom made ETL application to prepare unruly data for machine learning. Analyzing raw data, drawing conclusions and developing recommendations. Designed and built an alerting model to detect anomalous data in the incoming data streams. Data Visualization using different tools and library for the insight of data (Jupyter Notebook, Tableau). Maintenance and continuous improvement of production models post development. Carrying out specified data processing and statistical techniques for machine learning and forecasting. Developing machine learning models or time series data and strategies for effective prediction using Python libraries. EDUCATION University of Central Punjab,- Bachelors in Computer Science Govt. Science College,- High School AMERICAN LYCETUF,- Secondary School