Cloud Engineer Aws
Resume:
PROFESSIONAL SUMMARY
Highly skilled and Certified AWS Cloud Engineer with experience in
overall cloud development, cloud migration, and implementation of various cloud management products and services. Proficient in cloud administration, user management, open-source software installation and configuration, operating system, application hardening, and change management. Strong skills in providing operations and maintenance support for AWS cloud resources including launching, maintaining, and troubleshooting EC2 instances, S3 buckets, Virtual Private Clouds (VPC). WORK HISTORY
AWS Cloud Engineer, 05/2022 to Current
CIGNA - Plano,TX
CONTACT
Address: Plano,texas, 75093
United States
Phone: 469-***-****
Email:
*************@*****.***
WWW: www.linkedin.com/in/davi
d-popoola-op
SKILLS
DAVID POPOOLA
Built and improved reliability and performance of cloud applications and cloud infrastructure deployed on Amazon Web Services
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Created VPCs and attached all applicable components needed to build a fault tolerance and highly available environment
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Applied auto scaling and elastic load balancing to create high availability and fault tolerance to EC2 instances
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Installed and configured Atlassian products (Jira and Confluence) and LAMP application on EC2 instances and perform various software installations
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Provisioning users accounts using IAM in collaboration with enterprise Active Directory
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Perform full AMI backups for all provisioned instances for critical workloads
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Managed security keys using AWS KMS to manage cryptographic keys to control user access in a wide range of AWS services
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• Performed system monitoring using Nagios, CloudWatch and New Relic Participated in change management on JIRA to help track daily work activities
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Deployed code via GIT and worked with the DevOps team to help push codes to GitHub
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Created and attached volumes into EC2 instances and make sure all attached volumes have EBS snapshots initialized
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Installed and configure Apache, Nginx, Drupal, and WordPress on Ubuntu and Amazon Linux instances
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Run Infrastructure as code using Terraform for various CSP's and CloudFormation scripts to build AWS Infrastructure and resources
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Install and configure Atlassian products (Jira and Confluence) and LAMP application on EC2 instances and perform various software installations
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Launch and configure local and external database servers on EC2 and RDS instances
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• Experience working with tools like Git, Jenkins, Ansible and Jira Provision user accounts using IAM in collaboration with enterprise Active Directory
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• Worked with various scripting language like Python and Bash Perform
• Java
• Enterprise Java Bean
• Java EE
• Apache Struts
• AWS Elastic Beanstalk
• Python
• Shell Scripting
• SQL
• ETL
• Amazon Web Services
• EC2
• S3
• VPC
• CloudFormation
• Elastic Load Balancer
• Auto Scaling
• Elastic Beanstalk
• CloudFront
• CloudWatch
• CloudTrail
• SNS
• EBS
• Lambda
• RDS
• DynamoDB
• CI and CD Processes
• Elastic File System (EFS)
• Route 53
AWS Cloud Engineer, 12/2018 to 04/2022
7-eleven - Irving, TX
full AMI backups for all provisioned instances for critical workloads Participate in change management on JIRA to help track daily work activities
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Deploy code via GIT and worked with the DevOps team to help push codes to GitHub
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Experience in Linux Administration Installation, Configuration, Tuning and Upgrades of Linux (RedHat and Oracle)
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Performs necessary systems maintenance in accordance with Sun and RedHat best practices and Company change management policies
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Implemented AWS Cloud platform and its features which includes EC2, VPC, EBS, AMI, SNS, RDS, EBS, Cloud Watch, CloudTrail, Cloud Formation AWS Config, Autos calling, Cloud Front, IAM, S3, R53
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• Worked on cloud-based servers like AWS, AZURE and Rackspace In-depth understanding of the principles and best practices of Software Configuration Management (SCM) processes, which include compiling, packaging, deploying and Application configurations
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Extensively worked with Version Control Systems CVS, SVN
(Subversion), GIT
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Extensively worked with automation tools like Hudson, Jenkins and Build Forge to implement the End-to-End Automation
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Implemented cloud services IAAS, PAAS, and SaaS which include Openstack, Docker and Openshift O AWS and OpenStack to provision new machines for clients
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• S3 Storage Services on AWS
Server provisioning, automation (Puppet/Chef/Ruby), maintenance and performance tuning Hands on experience in installing and administrating CI tools like Hudson/Jenkins, Team city, Bamboo and ALM tools like Anthill Pro and TFS
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Performed integration of Code Quality Analysis Techniques like Find Bugs, MD, Cobertura with CI tools
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Proficient with container systems like Docker and container orchestration like EC2 Container Service, Kubernetes, worked with Terraform
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Managed Docker orchestration and Docker containerization using Kubernetes
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Used Kubernetes to orchestrate the deployment, scaling, and management of Docker Containers
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• Good Knowledge in Shell, Python, Perl & Expect scripting Provided release engineering support for Java SE and Sun middleware products
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Improved build-test-release process through automation and productivity tools development
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Experience in administering and supporting the CM tools including Git, Subversion, Perforce, CVS on UNIX and Windows environments
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Experience customizing JIRA projects with various schemas, complex workflows, screen schemes, permission schemes, and notification schemes
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Created custom AWS Lambda functions to integrate AWS Connect with backend CRM and databases
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• Enabled screen pops and real-time data lookups for agents Led security reviews and compliance processes for AWS Connect platform
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• Ensured adherence to corporate and regulatory policies.
• IAM (best practices)
• Certificate Manager (ACM)
• CLI
• Bash and Shell Scripting
Microservices (Dockers and
Kubernetes)
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• Data Modeling
• Data Flow Diagrams
• Data Warehousing
• BI Applications
• Analytical Reporting Tools
• Disaster Recovery
Assisted with monitoring AWS services and resources using CloudWatch, CloudTrail, AWS Config, and AWS SNS
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Implemented automation of infrastructure on the AWS Cloud using CloudFormation templates, deployed LAMP web apps on Amazon Linux instances, provisioned EC2 instance, created S3 buckets with bucket policy, build RDS database, DynamoDB tables, and assess applications for exposure and vulnerabilities with Amazon Inspector
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Provided IAM administration (created users, groups, roles, policies), build VPC with custom Network Access Control List and Security Groups, site deployment on Elastic Beanstalk, S3 static site hosting, launched EC2 instances using Bootstrap
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Deployed scalable and highly available sites using Autoscaling group and Application Load Balancer
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Engineered Continuous Integration (CI), and Continuous Delivery (CD) using Code Pipeline and Code Deploy
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• Deploy infrastructure- and application-level software changes
• ITIL practices in server and application hosting
• Conducted pre- and post-implementation reviews
Provisioning High-performance large-scale compute servers used en masse by engineering processes, run as a set of clusters, controlled by scheduling tools such as IBM's LSF or build farms such as Jenkins
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Provisioning High availability application servers used to run supporting processes such as databases, ALM tools, etc
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Provisioning Large scale network attached storage infrastructure used to service the above
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Provide technical conceptual guidance to other group members and management and suggest directions for investigations
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Participate in the NERSC decision-making process for acquisition of new HPC systems
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Intermediate to senior level installation, maintenance, and operational support with Linux (Rhel 6, Centos, Suse, Ubuntu), Windows Server 2008 & 2012
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Linux High Performance Computing (HPC) in 'research computing' and/or 'scientific computing' environments
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Experience, and leading up to building a continuous integration system for all our products
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Implementing AWS solutions using EC2, S3, RDS, EBS, Elastic Load Balancer, Auto scaling groups
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Responsible for Design of different Release Environments for new projects
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Implementing new projects builds framework using Jenkins & maven as build framework
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Implementing a Continuous Delivery framework using Jenkins, Chef, Maven & Nexus in Linux environment Managed Chef Cookbooks to automate system operations
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Integration of Maven/Nexus, Jenkins, Urban Code Deploy with Patterns/Release, Git, Confluence, JIRA, and Cloud Foundry Using Jenkins AWS Code Deploy plugin to deploy to AWS
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Changing the AWS infrastructure Elastic Beanstalk to Docker with Kubernetes
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• Configured Elastic Load Balancers (ELB) with EC2 Autos calling groups Created monitors, alarms, and notifications for EC2 hosts using Cloud Watch O Implemented a Continuous Delivery pipeline with Docker, and GitHub and AWS Experimented with Docker, by using Docker-compose
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Assisted in developing an Inventory management using Cassandra and producing various reports
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AWS Cloud Infrastructure Architect, 12/2016 to 11/2018 Wells Fargo - Cincinnati, OH
Scripting in multiple languages on UNIX, LINUX, and Windows - Batch, Ruby, Shell script etc
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Responsible for product deployments into QA, STAGE and PROD environments
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Managing day-to-day software configuration management activities for multiple product lines, including source code control, Version control, branch management, build management, release management, etc
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• Maintaining source code repository for all major and minor releases Writing build (Maven) and deployment scripts (Shell) to automate build and deployment of the application
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Procuring and configuring the server as per the needs of the release and the application
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Identify, troubleshoot, and resolve issues related to build and deploy process
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Interact with developers and Enterprise Configuration Management Team for changes to best practices and tools to eliminate non-efficient practices and bottlenecks
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Coordinate/assist developers with establishing and applying appropriate branching, labeling/naming conventions using Subversion source control
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Implemented real-time and historical reporting using Amazon CloudWatch, Pinpoint and QuickSight
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• Provided actionable insights to reduce handle times and improve CSAT Architected highly available multi-region AWS Connect deployment with redundancy
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• Ensured 99.99% uptime SLA.
• Build and improve current architecture
Utilize Java, Enterprise Java Bean, Java EE, and Apache Struts Web applications to develop fully automated client management systems for the efficient maintenance of client accounts
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• Implement and maintain resources using terraform Oversee all phases of development of the new Java-based vendor application system for the financial services industry, from conceptualization and design to progress and deployment
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• Migrate On-prem to the AWS cloud
Build and manage server deployment on ICP Cloud with Rundeck deployments
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Configure and maintain Rundeck and Docker for Continuous Integration and end-to-end automation of all build and deployments
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Preformed end-to-end architecture and implementation assessments of various AWS services like Amazon EMR, Redshift, S3
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Designed and developed Security Framework to provide fine grained access to objects in AWS S3 using AWS lambda, DynamoDB
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Set up and worked on Kerberos authentication principals to establish secure network communication on cluster and testing of HDFS, Hive, Pig and MapReduce to access cluster for new users
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Implement machine learning algorithms using python to predict the quantity a user might want to order for a specific item so we can automatically suggest using kinesis firehose and S3 data lake
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Use AWS EMR to transform and move large amounts of data into and out of other AWS data stores and databases
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Such as Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB Used Spark SQL for Scale and amp python interface that
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automatically converts RDD case classes to schema RDD Import data from different sources like HDFS/HBase into Spark RDD and perform computations using PySpark to generate the output response
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Create Lambda functions with Boto3 to deregister unused AMIs in all application regions to reduce the cost for EC2 resources
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Implemented a Continuous Delivery pipeline with Docker, Rundeck and GitHub
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• Working knowledge on cluster managers: Kubernetes/Docker
• Integrated GITLAB into Jenkins to automate the code check-out process Implemented POC'S for various deployment strategies and worked on enhancement of the existing system
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Implementation of New services and resources such as Docker, building CICD pipeline etc
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• Linux Administrator, updating and patching systems Implementing changing as IAC using terraform Worked on infrastructure with Docker containerization
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Kubernetes is being used to orchestrate the deployment, scaling, and management of Docker Containers
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• Worked on Micro Services deployments on AWS ECS and EC2 instances Actively worked on Docker and deploying and maintaining Micro services in Dev & QA environment
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Implemented SAP FICO module for a large manufacturing company, leading the project from planning to go-live phase
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Configured SAP MM module to automate the procurement process, resulting in a 25% reduction in procurement cycle time
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Integrated SAP CRM with SAP BW to enable real-time reporting of sales data for a retail client
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Provided SAP training to end-users, resulting in a 40% reduction in support tickets related to user errors
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Led a team of 5 consultants in implementing SAP PP module for a global consumer goods company
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Implemented docker-maven-plugin in maven pom to build docker images for all microservices and later used Docker file to build the docker images from the java jar files
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Implemented build stage- to build the micro service and push the docker container image to the private docker registry
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Used Jenkins pipelines to drive all microservices builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes
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Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker, on AWS platform
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Utilized Kubernetes and Docker for the runtime environment of the CI
/ CD system to build, test deploy
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Developed microservice on boarding tools leveraging Python and Jenkins allowing for easy creation and maintenance of build jobs and Kubernetes deploy and services
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Experience on Deployment Automation & Containerization (Docker, Kubernetes)
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Creating Ansible Playbooks, to Deploy VM and install the Components as per requirements
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Automation using Puppet and involved in developing Manifest and Modules for System and Application Configuration Management
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Worked on Docker open-source project by automating the deployment of applications inside software containers
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• Familiarity with enterprise business management software (SAP, EDUCATION
Bachelor of Science, Computer Science, 08/2007
OOU UNIVERSITY - Ogun State, Nigeria
CERTIFICATIONS
SalesForce, Hyperion) Strong work ethic Partner with the SAP Integration managers Experienced with git
Creating, writing, and managing s3 bucket, bucket policies, s3 encryption etc
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Building CICD pipelines and automation tools Creating Ansible playbooks, and deployment Setting up HPC Clusters and Slurm Deployment Run Infrastructure as code using Terraform for various CSP's and CloudFormation scripts to build AWS Infrastructure and resources
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Migrating On-prem to the AWS cloud Creating multi-account strategy using AWS Control tower or Organization Writing scripts to implement auto remediation for security violations
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Performed Branching, Tagging, Release Activities on Version Control Tools: GITLAB.
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• AWS Certified Cloud Practitioner
• AWS Certified Solutions Architect–Associate
• AWS Certified Sysops Administrator–Associate
• AWS Certified Developer–Associate
• Experienced in Kubernetes
• Certified in Terraform
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