In this episode Dinker and Sachin explore one of the most pervasive—and often invisible—data debt.

We’ve all heard of Technical Debt—the shortcuts teams take to release faster, knowing they’ll have to “pay it back” later. But today we go deeper and introduce its lesser-known, more dangerous cousin: Data Debt.

👉 In this conversation, we unpack:

* What Tech Debt actually means beyond the textbook definition * What exactly is Data Debt, and why does it often go unnoticed? * The 7 types of Data Debt (Quality, Pipeline, Schema, Metadata, Lineage, Governance, Observability) * How Data Debt erodes something far more important than delivery speed — trust

🔑 Key insight:

Tech Debt slows down scaling software. Data Debt slows down decision-making & erodes trust.

Whether you’re a product manager, data leader, architect, or engineer, this episode will change how you think about speed, trade-offs, and long-term impact.

Platforms • Apple Podcast: https://podcasts.apple.com/in/podcast/data-untangled/id1685928302 • YouTube: https://www.youtube.com/@data-untangled

About: • Views expressed are our own and do not necessarily reflect that of our employer • Dinker Charak: https://www.linkedin.com/in/dinkercharak - https://www.dinker.in • Sachin Dharmapurikar: https://www.linkedin.com/in/dharmapurikar