Data Engineering System Design with Hariom Suryvanshi

Structured study notes with expanded explanations, practical examples, and interview-focused takeaways.

This document is reworked as a structured, original study guide intended for revision, interview preparation, and design discussion practice. The concepts and examples are grounded in widely used data engineering patterns and interview frameworks.

• Read the concepts once in order to build a strong mental model.
• For interview prep, focus on four things for every topic: definition, when to use it, trade-offs, and failure modes.
• Use the sample data and examples to explain design decisions in practical terms rather than only naming tools.
• When answering system design questions, structure your explanation as requirements → architecture → data flow → scale/failures → trade-offs.