39 chapters covering every Data Engineer interview round. SQL & Query Optimization | Data Pipeline Architecture | Cloud Data Warehouses (Snowflake, BigQuery, Redshift) | Real-Time Streaming (Kafka, Flink) | Data Modeling | ETL/ELT Design | Behavioral Rounds Every problem includes full sample answers: how to design schemas, optimize queries, build fault-tolerant pipelines, and explain architectural trade-offs. Covers Google, Meta, Amazon, Netflix, and top tech companies. Built by a Silico