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Puneet Khandelwal
Puneet Khandelwal

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Debugging My Own Sleep With Airflow and a Smartwatch

Most optimization efforts fail because we treat our habits like art projects instead of systems. For months, I tried fixing my chaotic sleep schedule with vague intentions. I told myself I would wind down earlier, drink less caffeine past noon, and put my phone away. Nothing worked until I stopped guessing and started treating my nightly routine like a data pipeline. As a software engineer, I am used to debugging erratic behavior by looking at the logs. My body was throwing silent errors every single night, and I had no instrumentation.

I wrote a small Python script to pull my sleep stages, resting heart rate, and step counts from my wearable device API every morning at six. Then, I spun up a local instance of Apache Airflow to orchestrate the ingestion and transformation (our notes). The pipeline has three simple tasks. First, an extraction operator grabs the previous day's JSON payload from the health cloud. Second, a Pandas script cleans the timestamps and calculates my daily sleep debt. Third, a loading task dumps the metrics into a local SQLite database so I can query my own biology.

The first week of logs revealed an embarrassing bug in my lifestyle. My deep sleep plummeted by 40 percent on nights when I ate dinner past nine. It wasn't the blue light from my screen or the late work emails that ruined my rest. It was simply my digestion running a heavy background process while my brain tried to enter recovery mode. Because I had the pipeline running every morning, I could trace a straight line between my evening habits and my cognitive performance the next day.

This is the exact point where self-care stops feeling like a chore and starts feeling like engineering. When you can visualize your recovery metrics in a clean dashboard, you stop relying on willpower. You just look at the data and fix the upstream bottleneck. My ingestion script runs automatically while I brush my teeth, giving me a daily status report on my physical well-being before I even open my work laptop.

We spend so much time optimizing our codebases, but we rarely apply the same rigor to our own energy levels. Treat your daily habits with the same curiosity you bring to a broken API.

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