Does this cover Spark and Airflow?
Yes, as part of broader pipeline design patterns. The focus is on architectural thinking, not tool-specific syntax.
0→1 Interview Playbook · Valenx Press
Data Engineer
Frameworks for SQL, Pipeline Design, and Distributed Systems Interviews
8 chapters · 210 pages · tech
Data engineering interview system covering pipeline design, SQL optimization, distributed systems, ETL/ELT patterns, data modeling, streaming vs batch, data quality, and orchestration.
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Who Is This For
- Data engineers preparing for FAANG interviews
- Backend engineers transitioning to data engineering
- Analytics engineers looking to move into DE roles
- Data engineers targeting senior positions
What You Will Learn
- 1. End-to-end pipeline design framework
- 2. Data modeling: star schema vs snowflake decisions
- 3. Streaming vs batch processing trade-offs
- 4. SQL optimization for interview performance
- 5. Data quality and validation patterns
Sample Topics Covered
Design Uber's real-time order pipeline
Star schema vs snowflake for analytics
Batch vs streaming trade-offs
Frequently Asked Questions
Is this available on Kindle Unlimited?
Yes. This playbook is enrolled in Kindle Unlimited, so KU members can read it at no extra cost. It is also available for individual purchase on Amazon.
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