class DataEnthusiast:
    def __init__(self):
        self.name = "Amogelang Ngene"
        self.location = "South Africa 🇿🇦"
        self.education = "WeThinkCode_ | Software Development (Final Year)"
        self.passion = "Building robust data pipelines and infrastructure"
        self.currently_learning = ["Data Engineering", "ETL Pipelines", "Cloud Technologies"]
        
    def say_hi(self):
        print("Thanks for dropping by! Let's build something amazing together 🚀")

me = DataEnthusiast()
me.say_hi()

I'm a final-year Software Development student at WeThinkCode_ with a burning passion for data engineering and building scalable data systems. With a background in Administrative Information Management, I bridge the gap between software engineering and data infrastructure.

• 🏗️ Building Data Pipelines – Creating efficient ETL/ELT processes that scale
• 🔧 Data Infrastructure – Designing robust systems for data storage and processing
• 🌱 Continuous Learning – Currently pursuing IBM's Applied Data Science certification
• 💡 Open Source Contribution – Sharing knowledge through well-documented projects

💡 Explore my repositories for detailed READMEs, code documentation, and live demos!

graph LR
    A[Diploma: Admin Info Management] --> B[WeThinkCode_ Software Dev]
    B --> C[IBM Data Fundamentals ✅]
    B --> D[IBM IT Fundamentals ✅]
    C --> E[IBM Applied Data Science 🔄]
    E --> F[Data Engineering Tools 🎯]
    D --> G[Cloud Data Platforms 🎯]
    F --> H[Data Engineer 🚀]
    G --> H

✅ IBM Data Fundamentals – January 2025
✅ IBM Information Technology Fundamentals – July 2025
✅ Diploma in Administrative Information Management

🟡 IBM Applied Data Science with Python Professional Certificate

🔜 Apache Airflow Fundamentals
🔜 AWS Certified Data Engineer Associate

I'm seeking opportunities to grow as a:

• 🔧 Data Engineer – Building scalable data pipelines and infrastructure
• ☁️ Cloud Data Engineer – Leveraging AWS/Azure/GCP for data solutions
• 🏗️ ETL/ELT Developer – Designing efficient data transformation workflows
• 📊 Analytics Engineer – Creating data models that drive business decisions

Open to: Internships, Junior Roles, Collaborative Projects, Open Source Contributions

Learning:
  - Data Pipeline Architecture
  - Apache Airflow & ETL Orchestration
  - Docker & Container Orchestration
  - Cloud Platforms (AWS/Azure/GCP)
  
Building:
  - End-to-end data pipelines
  - Dockerized data services
  - Automated ETL workflows
  - Data warehouse solutions
  
Reading:
  - "Designing Data-Intensive Applications"
  - "Fundamentals of Data Engineering"

I'm always excited to connect with fellow developers, data enthusiasts, and potential collaborators!