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Building Automated Data Pipelines from Scratch
AutomationJan 2026

Building Automated Data Pipelines from Scratch

From manual CSV exports to a self-updating pipeline — the exact stack I deploy for clients.

Most teams I meet still email CSV files between departments. Every Monday morning, someone spends 2 hours cleaning, joining, and pasting numbers into a slide. That's $50K/year of analyst time you're paying to copy data.

Here's the pipeline I deploy: Python scripts for extraction, Power Query for transformation, scheduled refreshes through Power BI Service or a simple cron job. Total setup time: 1-2 weeks. Time saved: forever.

If your team has a recurring weekly report — that's a candidate for automation. Let's talk about what you'd do with those 2 hours back every Monday.

Want this kind of impact in your business? Let's talk →