Working with raw data like this really shows how messy things get once you move past the “export to CSV” stage. Devices spit out encoded streams, formats aren’t obvious, and suddenly a simple goal like extracting heart rate turns into a decoding problem. I’ve run into similar issues when dealing with sensor data and logs that weren’t meant to be human-friendly at all. That’s what pushed me to learn more about how a solid
big data consulting company approaches problems like this . From my own experience, having people who actually understand data pipelines, decoding, and transformation logic makes a huge difference. It turns confusing raw inputs into something you can actually work with instead of guessing your way through it.
