In this episode, Carlos Peralta returns to The Tech Trek to dive deep into data culture in the wearable tech space, sharing how WHOOP turns petabytes of real-time biometric data into personalized, actionable insights. We explore the technical complexities behind data ingestion, transformation, and delivery, and how the mission-driven nature of WHOOP influences both their engineering decisions and company culture.🔑 Key TakeawaysWearable tech = real-time big data: WHOOP processes petabytes of multimodal data from edge devices to deliver insights to users in near real time.Data must be actionable, not just abundant: It's not about the quantity of data collected, but how that data is translated into meaningful guidance for users.ML Ops is central to product success: The data and ML infrastructure team plays a critical role in feature development, roadmap planning, and performance optimization.Mission fuels motivation: WHOOP’s internal culture is deeply driven by its impact on human performance—employees are often users of the product themselves.Scalability ≠ just growth: Cost-efficiency, forecasting, and cloud infrastructure readiness are vital to scaling responsibly in a global market.⏱️ Timestamped Highlights00:00 – Intro to Carlos & the mission behind WHOOP02:19 – Data culture at WHOOP vs. traditional companies04:15 – Scale of data in wearables: petabytes, not megabytes05:52 – Complexity of ingesting, transforming, and delivering personalized data08:53 – Striking a balance: Real-time feedback vs. cloud cost efficiency11:14 – Scaling the platform as the member base expands globally13:43 – Internal motivation and culture driven by positive impact stories15:56 – Why data teams are involved early in the product roadmap17:59 – Carlos’ journey from WHOOP user to WHOOP employee20:40 – How to connect with Carlos + final thoughts💬 Quote of the Episode“You can have petabytes of data, but if you can’t make it queriable, understandable, and actionable—it’s just noise.” — Carlos Peralta