How I Mastered System Design Interviews

Level up you System Design Interview Prep w/ Educative: https://www.educative.io/courses/grokking-the-system-design-interview?aff=BnRy https://www.educative.io/courses/advanced-system-design-interview-prep-crash-course?aff=BnRy https://www.educative.io/courses/grokking-the-low-level-design-interview-using-ood-principles?aff=BnRy https://www.educative.io/courses/generative-ai-essentials?aff=BnRy Educative Go: https://www.educative.io/mobile?aff=BnRy This is the complete guide you need if you're preparing for the Data Engineering System Design Interviews. In this video, I break down how Senior Data Engineers approach System Design Interviews at top tech companies like Uber, DoorDash, Amazon, Meta and others. Chapters: 00:00 — Why Data Engineering System Design Interviews Are Hard 04:19 — The 6-Step Framework 13:22 — Step 1: Requirements Gathering (Functional + Non-Functional) 27:33 — Back-of-the-Envelope Calculations 38:38 — Step 2: Pipeline Design (Batch vs Streaming) 47:21 — Lambda Architecture Explained (Uber Example) 56:27 — Kappa Architecture Explained 1:01:12 — Step 3: Data Modeling 1:02:29 — Medallion Architecture Deep Dive (Bronze, Silver, Gold) 1:07:04 — Star Schema vs One Big Table (OBT) 1:11:43 — Slowly Changing Dimensions (SCD Type 1, 2) 1:14:46 — Partitioning, Bucketing & Liquid Clustering 1:16:40 — Step 4: Storage & File Formats 1:18:48 — Parquet (Column-Based) Explained 1:22:16 — Avro (Row-Based) Explained 1:23:59 — Why Delta Lake / Iceberg / Hudi Matter 1:27:33 — Relational vs Non-Relational Databases 1:29:02 — Step 5: Data Quality & Observability 1:30:00 — The 5 Data Quality Dimensions 1:33:18 — Data Contracts (Shift-Left Quality) 1:36:25 — Pipeline-Level Observability 1:37:37 — Step 6: Scalability, Backfills & DataOps 1:38:05 — Idempotency: The Golden Rule 1:39:34 — Backfill Strategies 1:42:22 — Schema Evolution (Flexible at Bronze, Strict at Silver/Gold) 1:45:38 — INTERVEW WALKTHROUGH: Real Uber/DoorDash Interview Question Connect w/ me here: LinkedIn: https://www.linkedin.com/in/afaque-ahmad-5a5847129/ YouTube Channel: https://www.youtube.com/@afaqueahmad7117 Playlists: Databricks Masterclass (Zero-To-Expert): https://www.youtube.com/playlist?list=PLWAuYt0wgRcJ9tUB9HszUJjzxg4-A4QmV Ultimate Guide To Spark Performance Tuning: https://www.youtube.com/playlist?list=PLWAuYt0wgRcLCtWzUxNg4BjnYlCZNEVth Interview Preparation: https://www.youtube.com/playlist?list=PLWAuYt0wgRcKtqUhfVbtPjULMdYq5drs8 Apache Spark Was Hard Until I Learned These 30 Concepts: https://youtu.be/z4Owc8RRApg Data Engineering Roadmap: https://youtu.be/f09GwYWPfEU How I Mastered Data Modeling: https://youtu.be/IUK0PmQDrqM Cracking Interviews @ Apple, Uber, Atlassian, Databricks: https://youtu.be/pWwEVIa4A5o Github: https://github.com/afaqueahmad7117 Spark Performance Tuning Codes: https://github.com/afaqueahmad7117/spark-experiments #DataEngineering #SystemDesign #ApacheSpark #Kafka #Databricks #DataEngineer #BigData #InterviewPreparation #DeltaLake #Lakehouse