Air Quality & Data Engineering Platform

A comprehensive data engineering platform featuring real-time air quality monitoring, stock market analytics, and YouTube data processing with Apache Airflow, Spark, Kafka, and multiple database technologies. 🏗️ Architecture Overview Data Sources → Airflow ETL → Processing → Storage → Analytics ↓ ↓ ↓ ↓ ↓ Air Quality Spark Kafka PostgreSQL Grafana Stock Market PySpark Cassandra MongoDB YouTube API Real-time 📁 Project Structure ├── dags/ │ ├── air_quality_pipeline.py # Hourly air quality ETL │ └── stock_market_dag.py # Stock market ETL pipeline ├── scripts/ │ ├── spark_processing.py # Spark data processing │ └── air_quality_config.py # Configuration files ├── docker-compose.yaml # Multi-service infrastructure ├── requirements.txt # Python dependencies ├── .env.example # Environment template └── data/ # Data directories ├── raw/ # Raw JSON data └── processed/ # Processed Parquet files 🚀 Quick Start Prerequisites Docker & Docker Compose Python 3.8+ API Keys for required services 1. Environ