AWS Masterclass for Data Engineers

The AWS interview playbook built from 8 years of real data engineering experience.

This isn't a certification study guide. Every question comes from real interviews, real architecture decisions, and real production pipelines across MNCs, FAANG, startups, and service companies.

📘 What's Inside

- 20 Modules covering every AWS service tested in Indian DE interviews

- 150 Scenario-Based MCQs — not "what is S3" theory questions

- Detailed Rationale for every answer — why the correct answer works AND why each wrong answer fails

- "How to Answer" coaching — exact phrasing for how to deliver your answer under interview pressure

- Real production stories with ₹ cost breakdowns from actual pipelines

📋 Modules Include

AWS Fundamentals | IAM & Security | S3 Deep Dive | AWS Glue & Data Catalog | Lambda for Pipelines | Amazon Redshift | RDS, Aurora & DMS | DynamoDB | Kinesis & Streaming | MSK & Kafka on AWS | SQS, SNS & EventBridge | Step Functions & MWAA | Athena & Lake Analytics | EMR & Big Data | ECS, Fargate & Batch | Secrets Manager, KMS & Encryption | CloudWatch & Monitoring | VPC & Networking | Data Lake Architecture & Lake Formation | Cost Optimization & Best Practices

🎯 Difficulty Levels

- Easy (Q1–40): Screening rounds at service companies and entry-level positions

- Medium (Q41–100): Technical rounds at product companies, analytics firms, and consultancies

- Hard (Q101–150): Senior/Staff-level architecture design questions at top-tier companies

📊 Specs

- 74 pages | 20 modules | 150 MCQs

- PDF format — works on any device

- Written by a Senior Data Engineer with 8 years across 6 companies

💡 Who This Is For

- Data Engineers preparing for interviews (0–10 years)

- Anyone who lists AWS on their resume and gets asked about it

- Professionals targeting any company that builds data pipelines on AWS

One PDF. 150 answers. The confidence to walk into any AWS interview prepared.