Data Engineering

A book-shaped table of contents for data engineering: foundations and lifecycle, data modeling, storage systems, ingestion and CDC, distributed processing (Spark/Flink), SQL mastery, workflow orchestration, data quality, platform and cloud architecture, pipeline observability, security and governance, performance engineering, system design, and MAANG interview preparation through capstone builds — cross-linking the existing observability book instead of duplicating it.

Data Engineering

A book-shaped table of contents for data engineering: foundations and lifecycle, data modeling, storage systems, ingestion and CDC, distributed processing (Spark/Flink), SQL mastery, workflow orchestration, data quality, platform and cloud architecture, pipeline observability, security and governance, performance engineering, system design, and MAANG interview preparation through capstone builds — cross-linking the existing observability book instead of duplicating it.

1 — Data Engineering Cheat Sheets

A consolidated quick-reference index across all the cheat sheets and checklists in this Part.

10 — 100 MAANG Data Engineering Interview Questions

A consolidated list of 100 data engineering interview questions asked at MAANG-tier companies.

3 — Spark Optimization Checklist

A checklist of Spark performance and cost optimization techniques to run through before shipping a job.