I Built My First ETL Pipeline as a Complete Beginner. Here’s How.
The article details a beginner's experience building their first ETL pipeline using the GitHub API. It outlines the steps of Extract, Transform, Load, and emphasizes the importance of hands-on learning. The author shares their journey, including challenges faced and the satisfaction of creating a functional project.
- ▪The author transitioned from a data analyst to a data engineer over a 12-month roadmap.
- ▪They built an ETL pipeline from scratch using Python and the GitHub API to extract data.
- ▪The process involved extracting data, cleaning it, and saving it as a CSV file.
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Data Engineering I Built My First ETL Pipeline as a Complete Beginner. Here’s How. A beginner's honest walkthrough of Extract, Transform, Load using the GitHub API Ibrahim Salami May 25, 2026 7 min read Share Generated with Gemini This is part two of my data engineering journey series. In part one, I shared my 12-month roadmap for transitioning from data analyst to data engineer. This is where the actual building begins.When I published my first article documenting my data engineering journey, something unexpected happened. People resonated with it. I had strangers reaching out saying they were excited to follow along. That felt good. But it also came with pressure. Suddenly this wasn’t just a personal goal I could quietly abandon if things got hard. People were watching.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Towards Data Science.
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