Nathan Williams | Senior AWS Cloud Engineer at CloudForge Innovations

Summary

Senior AWS Cloud EngineerCloudForge Innovations

Austin, TXJul 2022Present

Led the migration of on-premise data centers to AWS, resulting in a 25% reduction in infrastructure costs and improved scalability for critical applications.
Architected and implemented CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy, increasing deployment frequency by 40% and reducing manual errors by 15%.
Developed and maintained Infrastructure as Code (IaC) using Terraform and CloudFormation, managing over 50 AWS accounts and ensuring consistent provisioning.
Enhanced cloud security posture by implementing IAM policies, WAF rules, and security groups, achieving 99.9% compliance with industry best practices.
Optimized AWS resource utilization across EC2, S3, and RDS, identifying and executing cost-saving initiatives that saved the company $200,000 annually.

Cloud EngineerNexGen Solutions

Dallas, TXAug 2018Jun 2022

Deployed and managed highly available and fault-tolerant applications on AWS, ensuring 99.99% uptime for key services.
Automated routine operational tasks using Python and Bash scripting, reducing manual effort by 30 hours per week for the operations team.
Monitored AWS environments using CloudWatch and third-party tools, proactively identifying and resolving performance bottlenecks before impacting users.
Collaborated with development teams to integrate new features into existing AWS services, accelerating deployment cycles by 20%.
Configured and maintained VPCs, subnets, route tables, and security groups to ensure secure and efficient network communication within AWS.

Developed a full-stack photo sharing application using AWS Lambda, API Gateway, S3, DynamoDB, and Cognito.
Implemented secure user authentication and authorization, resulting in a robust and protected user experience.
Designed the application to be entirely serverless, achieving significant cost efficiency and high scalability on demand.

Created a reusable Terraform module for deploying a production-ready AWS EKS cluster with managed node groups and essential add-ons.
Streamlined Kubernetes cluster provisioning from days to minutes, improving developer productivity by 30%.
Integrated Prometheus and Grafana for comprehensive cluster monitoring, providing real-time insights into resource utilization and performance.

Automated AWS Cost Optimization Script

May 2021Jul 2021

Developed a Python script leveraging AWS SDK (Boto3) to identify and terminate idle EC2 instances and unattached EBS volumes.
Scheduled the script to run daily via AWS Lambda and EventBridge, reducing monthly cloud expenditure by an average of 10-15%.
Implemented detailed logging and notification (SNS) for audit trails and immediate alerts on identified savings opportunities.

The University of Texas at AustinBachelor of Science in Computer Science

Austin, TXAug 2014May 2018

Graduated Cum Laude with a GPA of 3.7/4.0.
Relevant Coursework: Cloud Computing, Distributed Systems, Network Security, Data Structures & Algorithms.
Member of the Longhorn Computer Science Association.

Cloud Platforms

AWS EC2AWS S3AWS VPCAWS RDSAWS LambdaAWS IAMAWS Fargate

DevOps & Automation

TerraformCloudFormationDockerKubernetesGitJenkinsAnsible

Programming & Scripting

PythonBashYAMLJSONGo (Basic)

Monitoring & Logging

AWS CloudWatchPrometheusGrafanaELK StackDatadog

Networking & Security

VPCVPNDNSLoad BalancingFirewallsSecurity GroupsWAF