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MuhammadubaidAli/README.md

Hi, I'm Muhammad Ubaid Ali

Cloud Data Engineering Student

Building modern data pipelines with Microsoft Fabric, Azure & Python.

LinkedIn Gmail Portfolio


About Me

I'm a Computer Science student focused on Cloud Data Engineering — designing ETL pipelines, working with cloud data warehouses, and building practical projects with Microsoft Fabric, Azure, SQL, and Python.

Currently exploring:

  • Microsoft Fabric & Azure Data Factory
  • SQL, Python, ETL Pipelines & Data Warehousing
  • Power BI, Docker, Git & GitHub

Tech Stack

Languages

Python MySQL Bash

Cloud

Microsoft Fabric Microsoft Azure Power BI

Tools

Docker Git GitHub Linux VS Code


Featured Projects

Project Description
🌍 Smart City AQI Simulator Python simulator generating real-time AQI sensor readings and exporting structured datasets
☁️ Cloud Data Engineering Labs Hands-on SQL, ETL, warehousing, and cloud assignments
📊 SQL Practice Interview-focused SQL repository covering joins, CTEs, window functions, and query optimization
📘 Microsoft Fabric Projects Applied projects built while learning Microsoft Fabric
🌐 Portfolio Website Personal site showcasing projects and skills

GitHub Analytics


2026 Goals

  • Microsoft Fabric Certification
  • Azure Data Engineering Associate
  • Build 10+ Data Engineering Projects
  • Learn Apache Airflow
  • Learn PySpark & Databricks
  • Contribute to Open Source

Turning raw data into meaningful insights — one pipeline at a time.

⭐ Thanks for visiting my profile!

Pinned Loading

  1. Titanic_Data_Analysis Titanic_Data_Analysis Public

    Titanic Dataset Analysis using Python, NumPy and Pandas

    Jupyter Notebook

  2. Smart-City-Air-Quality-Monitoring-System Smart-City-Air-Quality-Monitoring-System Public

    A Smart City Air Quality Monitoring System built with Python, Snowflake, SQL, and Power BI. This project simulates IoT sensor data, integrates real-time OpenAQ API data through an ETL pipeline, sto…

    Python