Solution Architect

MARCUS MEEKINS

Contact: (XXX) XXX-XXXX; (M); Email: ***************@*****.***

LinkedIn -www.linkedin.com/in/marcus-meekins-m-d-mmm-7758aa188

GitHub - www.https://github.com/Meeks71

Attuned to the latest trends and advancements in this field, I am consistently delivering impeccable results through my dedication in handling multiple functions and activities under high pressure environment with tight deadlines

AWS SOLUTION ARCHITECT

Cloud Computing Requirement Gathering & Analysis AWS Set up & Architecture Agile Methodology Cloud Set up & Management Troubleshooting Liaison & Coordination User Authentication & Access Stakeholder Management Automation Load Balancing Cloud Deployment User Training

EXECUTIVE SNAPSHOT

10+ years experienced AWS Solution Architect with proven track record in Solution design for cloud technologies in IT infrastructure functions. Presently working as AWS Solution Architect with Luxury Motors of the Carolinas, LLC.

Adept at developing solutions, procedures and service standards for project transformation and business excellence.

Proficient in designing effective solutions for cloud deployment, transitioning multiple projects and ensuring seamless delivery of services.

Skilled in handling technical issues of the clients and communication technical glitches to stakeholders to prevent miscommunications and improving clients experience.

Experience collaborating with the sales team to drive customer satisfaction, exceed customer expectations, create and execute business plans to accelerate the adoption of AWS and exceed revenue goals

Demonstrated experience developing enterprise application architectures to meet business requirements in complex environments

Experience with cloud solutions, virtual platforms, software development experience, and operational management practices and frameworks

Understanding of security, risk and compliance frameworks, disaster recovery, high availability architectures, hardware, operating systems and networking connectivity

Experience within specific technology domain areas like software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics

Knowledge in infrastructure and network architecture, DevOps, or software engineering

Brilliant in Amazon AWS Cloud Services including EC2, S3, EBS, ELB, Cloud Watch, CloudFormation, Route53, Elastic IP, RDS, SNS, SQS, Glacier, IAM, VPC, and managing security groups on AWS.

Create scripts to automate AWS services, including web servers, ELB, CloudFront distribution, databases, EC2 and database security groups, and S3 bucket and application configuration.

Apply Containerization tools such as Docker and Kubernetes.

Build and deploy applications in alignment with practices such as Continuous Integration (CI) and Continuous Deployment/ Delivery (CD) in runtime with various CI tools such as Jenkins, Ansible, and VSTS.

Create stacks, single servers, or join web servers to stacks using scripts.

Analyze system functionality and configure and deploy instances on AWS cloud environments.

Migrate applications to the AWS cloud.

Hands-on with configuration management tools such as Ansible and Puppet and monitoring tools CloudWatch and Nagios. Prepare Test Plans, Use Cases, Test Scripts, Test Cases and Test Data.

Emphasis on Quality Assurance, Manual Testing, and Automated Testing using Quick Test Professional/ UFT, Load Runner, Win Runner Telerik Studio, Selenium, Protractor, UI Automation and Test Director/ Quality Center, Rational Suite, ALM, and Microsoft Test Manager.

Design and deploy applications utilizing almost all the AWS tools.

Focus on high-availability, fault tolerance, and auto-scaling in AWS Cloud Formation.

Expert in interacting, communicating and partnering with other teams within AWS such as services teams, marketing, and professional services, as well as representing team to executive management.

PROFESSIONAL EXPERIENCE

Since January 2013 with Luxury Motors of the Carolinas, LLC

Client: Daimler AG

Role: AWS Solution Architect

Duration: since January 2022 – Present

Responsibilities:

Creating and driving the technical strategy with sales in the management of accounts with a complex and multi-faceted relationship with AWS.

Partnering with customers and several AWS teams to craft highly scalable, flexible and resilient cloud architectures that provide solutions to solve customer business problems and accelerate the adoption of AWS services.

Driving revenue growth across a defined set of customers. Assisting in shaping and executing a strategy to build mindshare and broad use of AWS with enterprise customers.

Performing lead role in translating business objectives and requirements into functional solutions

Ensuring that all testing requirements as well as all test data are well-prepared and documented

Making goals and objectives a priority and monitoring the work of others

Leading and actively participating in brainstorming sessions to identify areas for process improvements

Applying existing technologies in designing and developing technical solutions

Meeting with sales and customers either through conference calls or in-person meetings

Designing and developing technical solutions to meet customer needs and business goals

Reviewing existing environments and/or planning new ones.

Client: Volkswagen Group

Role: Cloud Automation Engineer

Duration: Jan 2020 – Dec 2021

Responsibilities:

Participate in the designing of service automation in the cloud towards infrastructure -as code.

Leading on orchestration in the cloud using infrastructure-as-code and providing self-service capabilities to the IT team.

Working with a team collaboratively as well as proficient enough to work efficiently on individual tasks.

Work directly with the third party (Amazon, Microsoft etc) while resolving the issues.

Choosing the right tool, methods, application to make the workflow smooth and less time-consuming.

Executing the process engineering and operational improvement for automating tools focusing on the cloud.

Working as an active driver for continuous integration and continuous delivery applications.

Providing documentation to assist the sustaining projects during the transition to the production process.

Improving cost-effectiveness in the cloud and design new systems to address the existing IT challenges.

Automate infrastructure in AWS (Amazon Web Services) with the help of Terraform and Ansible.

Client: Bayerische Motoren Werke AG

Role: Cloud Automation Engineer

Duration: Aug 2017 – Dec 2019

Responsibilities:

Developing software that uses automation tools for cloud services such as Amazon Web Services (AWS) or Microsoft Azure

Creating scripts and tools to automate repetitive tasks in the cloud environment

Managing the infrastructure of cloud computing platforms and designing solutions for large scale deployments

Monitoring system performance, conducting capacity planning, identifying trends, and providing recommendations to improve service levels

Designing, developing, and implementing solutions that improve efficiency and reduce costs by using technology such as virtualization, automation, and storage management

Monitoring software performance, troubleshooting bugs, and identifying opportunities for improvement

Developing or modifying code to automate tasks or meet business requirements

Analyzing data center operations and designing new solutions to improve efficiency and reduce costs

Building and managing complex cloud environments including security measures to protect data

Client: Volvo Group

Role: Cloud Engineer

Duration: Jan 2015 – Aug 2017

Responsibilities:

Designed and implemented fully automated server build management, monitoring, and deployment solutions spanning multiple platforms, tools, and technologies. Applied technologies included Amazon EC2, Jenkins Nodes/Agent, SSH, etc.

Defined AWS Security Groups, which acted as virtual firewalls that controlled the traffic allowed to reach one or more AWS EC2 instances.

Worked with DevOps practices using AWS, Elastic Beanstalk, and Docker with Kubernetes.

Designed and deployed applications utilizing most of the AWS stack (e.g., S3, RDS, EC2, Route53, IAM).

Worked with Agile practices using CI/CD pipelines, with Jenkins (for continuous integration),

Deployed AWS resources using AWS Cloud Formation.

Wrote, tested and deployed Terraform scripts.

Integrated SonarQube with Jenkins for continuous code quality inspection. Implemented functional tests using Java, Junit framework, and Cucumber framework.

Migrated Jira from various other tool sets such as Service Now, including test cases and test runs.

Collaborated about problem resolution, team decisions, and project planning.

Supported multiple projects, including set up and management of users, project roles, time tracking, security, and plug-ins.

In depth knowledge Agile/Scrum and Waterfall methodologies, Use Cases, and Software Development Life Cycle (SDLC) processes.

Created advanced workflows, conditions, scripted fields, and extended Jira’s functionalities by Groovy scripting through plugins like Script Runner.

Client: Tata Motors Limited

Role: AWS Cloud Engineer

Duration: Jan 2013 – Dec 2014

Responsibilities:

Designing and implementing secure network solutions that meet business requirements.

Creating and configuring virtualized systems in the AWS environment.

Performing infrastructure upgrades and updates to maximize system efficiency while minimizing downtime.

Deploying applications in AWS using EC2 instances and Elastic Beanstalk.

Creating blueprints using CloudFormation templates for common workloads.

Maintaining, testing and implementing disaster recovery procedures.

Implementing automation using scripting languages (e.g., Python, Perl) to manage AWS services.

Building tools for deployment, monitoring, and troubleshooting of system resources in an AWS environment.

Developing software components in Java/Python .NET that interact with AWS cloud services by leveraging the AWS APIs.

ACADEMIC CREDENTIALS

Per Scholas Software Engineering

Atlanta, GA

Coder Foundry - C#. Net

Kernersville, NC

Codesmith - CS Prep Software Engineering Prep

New York City, NY

Masters in Medical Management

University of Southern California, Los Angeles, CA

Doctor of Medicine

MCP-Hahnemann School of Medicine 2900 Queen Lane Philadelphia, PA

Bachelor of Arts in Biology

Rutgers, The State University of New Jersey New Brunswick, New Jersey

Associate of Science in Chemistry

Mercer County Community College West Windsor, New Jersey

technical skills

Cloud Services: AWS, Azure

Programming Languages: Python, Scala, Spark, PowerShell, Bash, Spark Streaming Java, PL/SQL, YAML

Scripting Languages: Python, Hive, JavaScript, jQuery, Bash, Nodejs, PHP

IDE Development Tools: Eclipse, PyCharm, IntelliJ, Jupyter Notbook, CA-API Gateway, VS Code

Databases: DynamoDB, SQL Server, MySQL, PostgresDB, AWS RDS, Mariadb, Amazon Arrora

DevOps and Container: Packer, Jenkins, Kubernetes, Puppet, Docker, CI/CD, Ansible, Git, AWS CodeCommit, CodeDeploy, CodeBuild. EKS, AKS, ECR, ECS.

Operating Systems: Windows, Linux, Unix, Microsoft Windows Server (2008-2016, 2019 base), VMware, vSphere, Virtual box

Technologies: API Gateway, Apache, Tomcat, Nginx, HTML5/CSS, Servlets, JSP, XML, JSON, CSV, JSTL, Soap, Web Services, WSDL, React, Nginx

QA and Monitoring: Sellenium, TestNG, Postman, JUnit, Cucumber, Protractor, Jasmine, CloudWatch, Nagios, Prometheus, Splunk, ELK

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