Crypto ETL Pipeline (Python + PostgreSQL) Overview This project is a simple ETL (Extract, Transform, Load) pipeline that retrieves real-time cryptocurrency market data from the CoinPaprika API, processes it using Python (Pandas), and loads it into a PostgreSQL database. The pipeline is designed for learning and demonstrating core data engineering concepts such as API ingestion, data transformation, and relational database storage. Architecture Extract → Transform → Load Extract Data is fetched from the CoinPaprika REST API Cryptocurrencies include: Bitcoin, Ethereum, XRP, Solana Transform JSON response is normalized using Pandas Unnecessary fields are removed Columns are renamed for clarity Timestamp ( ingested_at ) is added Load Cleaned data is inserted into PostgreSQL Table: crypto_market_data Tech Stack Python 3.x Pandas Requests SQLAlchemy Psycopg2 PostgreSQL python-dotenv Project Structure Crypto_etl.py/ │ ├── crypto_etl.py Main ETL script ├── requirements.txt Python dependencies ├── .env Environment…