From API to Insight: Building an End-to-End Data Pipeline with Python
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# 🐍 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 SQLite.
We'll start with raw product data from the DummyJSON 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 APIs – Fetch product data, handle pagination, and collect records from a real API.
- 💾 Loading Data into SQLite – 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 duplicates, and create calculated fields.
- 📊 Turning Data into Insights – Use SQL to query our transformed data and uncover useful information.
- 🚀 Beyond the Demo – Discuss how these same techniques apply to larger, production-scale data engineering systems.
### 👥 Who should attend?
Whether you're new to working with APIs, curious about data engineering, or an experienced Python developer looking to explore practical data processing techniques, there's something here for you.
No prior data engineering experience is needed. A basic familiarity with Python is helpful, but everyone is welcome!
Come learn something new, ask questions, and see how a few Python scripts can turn raw API data into meaningful insights. See you there! 🐍
