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mhamza-codes/README.md

Hi there, I'm Hamza! 👋

I'm a passionate Software Engineering graduate with a strong focus on Data Engineering.

My goal isn’t just to work with data, but to understand it deeply—from ingestion and transformation to analytics and scalability. I enjoy building reliable data pipelines, working with large datasets, and designing systems that turn raw data into meaningful insights.

🔭 I'm currently focused on building and strengthening my skills in: Modern Data Engineering & Backend Systems

  • 🌱 I'm always learning: Cloud platforms, distributed systems, and scalable data architectures
  • 👯 I'm looking to collaborate on: Data engineering, backend, and analytics-driven projects
  • 💬 Ask me about: SQL, Python, ETL pipelines, data modeling, and data workflows
  • ⚡ Ambition: To become a highly skilled Data Engineer capable of building end-to-end data platforms

⚙️ Tech Stack

🖥 Programming & Scripting

Python SQL Bash

🗄 Libraries & Frameworks

NumPy Pandas Matplotlib Seaborn Plotly

⚡ Data Engineering Tools

Snowflake Airflow Apache Kafka Docker

☁️ Cloud Services (AWS & GCP)

AWS GCP

🔧 Other Tools

Git Power BI

📜 Certifications

📊 GitHub Stats

Muhammad Hamza's GitHub Stats

Top Languages

📫 Connect with Me

LinkedIn Email

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  1. sql-data-warehouse sql-data-warehouse Public

    Building a modern data warehouse with SQL Server, including ETL processes, data modeling and analytics.

    TSQL

  2. real-time-stock-data-pipeline-kafka-aws real-time-stock-data-pipeline-kafka-aws Public

    📈 Real-time stock market data pipeline using Kafka & AWS ☁️ | Simulates stock data 📊 → Streams via Kafka on EC2 🛰️ → Stores in S3 🗂️ → Cataloged with Glue 🧩 → Queried using Athena 🔍

    Jupyter Notebook

  3. weather-etl-pipeline weather-etl-pipeline Public

    ETL pipeline that extracts real-time weather data from the OpenWeather API, transforms it using Python, and loads it into Amazon S3. Orchestrated with Apache Airflow deployed on an AWS EC2 instance.

    Python

  4. retail-orders-data-analysis-python-sql retail-orders-data-analysis-python-sql Public

    📊 End-to-end data analysis project on a retail orders dataset using Python and SQL. Covers data cleaning, exploratory data analysis (EDA), business insights, and KPI calculations.

    Jupyter Notebook 1