From API to Insight: Building an End-to-End Data Pipeline with Python

🐍 **From API to Insight: Building an End-to-End Data Pipeline with Python**

Ever wondered what happens to data after you retrieve it from an API?

Getting data is often the easy part. Turning it into something clean, reliable, and useful is where the real engineering begins!

Join the Spokane Python Users Group (SPUG) for a hands-on look at building a complete data pipeline using Python, a public API, and SQ

Lite.

We'll start with raw product data from the Dummy

JSON API and work our way through a miniature ELT (Extract, Load, Transform) pipeline, turning messy API responses into structured, analytics-ready data.

🛠️ **What We'll Explore**

📡 **Extracting Data from AP

Is:** Fetch product data, handle pagination, and collect records from a real API.

💾 **Loading Data into SQ

Lite:** Store raw API responses before processing, just like many production data pipelines.

🧹 **Cleaning & Transforming Data:** Validate records, convert data types, handle missing or invalid values, remove duplicate