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Cloud Engineer - AWS & Azure Automation

Location:
Houston, TX
Posted:
June 20, 2026

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Resume:

DANIEL FAKUNLE

Cloud Engineer

Houston, TX **************@*****.*** 832-***-**** linkedin.com/in/danielfakunle1 github.com/topeolukunle

PROFESSIONAL SUMMARY

Results-driven Cloud Engineer with proven hands-on experience architecting, automating, and operating AWS and Azure environments. Skilled in designing scalable cloud-native infrastructure, building CI/CD pipelines, and driving operational efficiency through Infrastructure as Code and Python/Bash automation. Experienced deploying containerized workloads on ECS and Kubernetes, implementing observability solutions, and enforcing cloud security best practices. Holds active AWS and Azure certifications. Thrives in cross-functional environments supporting high-availability, 24/7 production systems.

TECHNICAL SKILLS

Cloud Platforms

AWS (EC2, S3, Lambda, IAM, VPC, RDS, CloudWatch, API Gateway, Cognito, ECS, EKS) Azure

CI/CD & IaC

GitHub Actions Jenkins CodePipeline Azure DevOps Terraform CloudFormation

Containers

Docker Amazon ECS Amazon EKS Kubernetes

OS & Databases

Linux Windows Server VMware VirtualBox PostgreSQL MySQL

Scripting

Python Bash PowerShell

Observability

CloudWatch Elastic Stack Splunk

Networking

DNS HTTP/HTTPS TCP/IP CDNs VPC Subnets NAT Load Balancing

Version Control

Git GitHub

CERTIFICATIONS

AWS Certified Developer – Associate (DVA-C02) — Amazon Web Services — Expected July 2026

AWS Certified Cloud Practitioner (CLF-C02) — Amazon Web Services

Microsoft Certified: Azure Fundamentals (AZ-900) — Microsoft

PROJECTS

AI Image Description Web Application

Technologies: Fargate ECS ECR Bedrock DynamoDB S3 Route 53 GitHub Actions Docker Python

Built and deployed a full-stack, cloud-native image processing web application on AWS using S3, Lambda, DynamoDB, and ECS Fargate — enabling user image uploads and dynamic content delivery through a scalable serverless and containerized architecture.

Implemented event-driven microservices with AWS Lambda for image processing and S3-triggered workflows, integrating Amazon Bedrock to generate and store AI-based image descriptions in DynamoDB.

Designed and automated production-grade infrastructure including VPC networking, Application Load Balancer, Route 53 routing, ECR container deployment, and CI/CD pipelines using GitHub Actions for continuous delivery to ECS Fargate.

Private Serverless Image Processing Pipeline

Technologies: AWS Lambda API Gateway Amazon Cognito S3 AWS SAM CloudFormation

Designed and deployed an end-to-end serverless image processing pipeline on AWS featuring automated image transformation via S3-triggered Lambda functions, user authentication through Amazon Cognito Hosted UI with OAuth 2.0 flow, and a multi-component architecture deployed using AWS SAM and CloudFormation.

Multi-Tier AWS VPC Infrastructure

Technologies: AWS VPC EC2 NAT Gateway Subnets

Designed and deployed a secure, multi-tier AWS network architecture with public and private subnets, NAT gateway, and EC2 instances — following AWS Well-Architected Framework principles for network isolation, security, and scalability.

CI/CD Pipeline & Infrastructure as Code Automation

Technologies: Azure DevOps CodeCommit CodeBuild CodeDeploy Terraform CloudFormation

Built automated CI/CD pipelines using Azure DevOps and AWS developer tools (CodeCommit, CodeBuild, CodeDeploy) to automate code building, testing, and deployment. Separately provisioned cloud infrastructure using both Terraform and CloudFormation.

PROFESSIONAL EXPERIENCE

Cloud DevOps Engineer Apprentice April 2026 – Present

Digital Cloud Training Cloud Mastery Bootcamp Remote

Hands-on DevOps apprenticeship program focused on cloud automation, continuous delivery, and infrastructure deployment across AWS environments using industry-standard tools and practices.

Built and maintained CI/CD pipelines to automate code building, testing, and deployment, enabling consistent and repeatable delivery workflows.

Deployed and managed containerized applications using Docker and Kubernetes, supporting scalable and portable cloud-native workloads.

Authored infrastructure code using Terraform and CloudFormation to automate environment provisioning and enforce IaC best practices.

Implemented monitoring and observability strategies utilizing logging, alerting, and reliability practices to maintain continuous system health.

Authored Python and Bash automation scripts to streamline operational tasks, system maintenance, and cloud cost-optimization routines.

Senior Engineer January 2020 – March 2026

Baker Hughes Houston, TX

Drove cross-functional collaboration with enterprise IT and cloud teams to successfully deliver multiple cloud-hosted applications from requirements through UAT and global enterprise rollout — accelerating digital tool availability for international operations teams.

Operated across AWS, Azure, and enterprise cloud platforms (Okta, Microsoft 365, Shared Network Storage) to support global operations and reporting, enabling seamless access and productivity for distributed teams at global scale.

Designed and deployed operational monitoring dashboards and data reporting tools that improved real-time visibility into production performance across global operations, enabling faster decision-making and reducing response time to system anomalies.

Resolved complex, high-stakes production system failures under operational pressure across global field environments, consistently reducing downtime and restoring operations — building systematic root-cause analysis and incident response instincts.

OTHER EXPERIENCE

Production Optimization Engineer March 2018 – December 2019

Baker Hughes Houston, TX

Led product development, testing, and field application for production chemicals.

Developed Standard Operating Procedures for team application.

Collaborated and trained teams on production improvement methodologies.

PATENTS, AWARDS & ACHIEVEMENTS

2 Patent Submissions — Baker Hughes Inc. (2023 & 2025)

Developed 20 new products from concept through global field deployment across the full product lifecycle — development, testing, and deployment.

Award Recipient — Baker Hughes Engineering Innovation Meritorious Award

Award Recipient — World Oil Award, Best Production Chemicals

Industry Publication — World Oil Magazine

Conference Presenter — Offshore West Africa Conference, Lagos, Nigeria

EDUCATION

Master of Science, Engineering — Oklahoma State University, Stillwater, OK

Master of Engineering — University of Houston, Houston, TX

Bachelor of Science, Engineering — Obafemi Awolowo University, Nigeria



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