📋 Table of Contents
🚀 My Cloud & DevOps Projects
Welcome to my projects showcase! Here, you’ll find hands-on projects that highlight my experience in DevOps, Cloud Engineering, and Automation. I focus on Azure, AWS, Terraform, CI/CD, and Data Pipelines to build scalable and reliable solutions.
Each project includes a breakdown of technologies used, architecture, implementation steps, and lessons learned. Click on any project to explore its details!
🏗️ Featured Projects
🏗️ Portfolio & Blog Deployment
📌 Deploying my personal site using Hugo, GitHub, and Terraform on Azure. Tech Stack: Hugo, Terraform, Azure, GitHub Actions
📊 Azure Data Lake Deployment
📌 Provisioning a complete Azure Data Lake and automating NBA data ingestion with Azure Functions. Tech Stack: Azure, Terraform, Azure Function App, Python, Key Vault, Synapse, Application Insights
☁️ Weather Dashboard
📌 Fetching real-time weather data and storing it in AWS S3. Tech Stack: Python, OpenWeatherMap API, AWS S3
🏀 Automating NBA Game Notifications with AWS & Terraform
📌 Building an automated NBA game update notification system using AWS Lambda, SNS, and Terraform. Tech Stack: AWS Lambda, SNS, EventBridge, IAM, Terraform, Python
🏀 NBA Data Lake Pipeline
📌 Automating NBA player data collection, storage, and analysis using AWS and Python. Tech Stack: AWS S3, Glue, Athena, CloudWatch, GitHub Actions, Python
🏀 Containerized Sports API Management System
📌 A containerized API management system for querying real-time sports data using AWS ECS (Fargate), API Gateway, Docker, and Terraform. Tech Stack: AWS, ECS, API Gateway, Terraform, Docker, DevOps, Python
🏀 NCAA Game Highlights
📌 A containerized pipeline that fetches NCAA game highlights using RapidAPI, processes videos with AWS MediaConvert, and provisions infrastructure with Terraform. Tech Stack: AWS, MediaConvert, Terraform, Docker, RapidAPI, DevOps
🏀 NCAA Game Data Backup (SportsDataBackup)
📌 An evolved pipeline that fetches NCAA game highlights, backs up query data using AWS DynamoDB, and automates daily triggers with AWS EventBridge and ECS Fargate. Tech Stack: AWS, DynamoDB, EventBridge, ECS Fargate, MediaConvert, Terraform, Docker, DevOps
🛠️ Technologies I Use
- Cloud Providers: Azure, AWS
- Automation: Terraform, GitHub Actions, Ansible
- Containerization: Docker, Kubernetes
- CI/CD Pipelines: GitHub Actions, Jenkins
- Scripting & Development: Python, Bash, Powershel, Yaml
- Monitoring & Logging: AWS CloudWatch, Azure Monitor, Application Insights
🚀 I am constantly working on new projects, learning new tools, and refining my DevOps skills. Stay tuned for updates!