Shubham Wadekar

Product Title - Complete Interview Preparation Material for AWS Data Engineers.

Use AWS10 Coupon code to get 10% discount, only for next few users.

Here is a detailed list of what is provided:

CORE TOPICS:

SQL

1. Books: 5
2. Cheatsheets: 3
3. Coding Q&A: 175+ solved problems
4. SQL Concepts Notes
5. SQL Notes: Interview-ready tips
6. Theoretical Q&A: 170+

Python

1. Books: 5 
2. Cheatsheets: 6
3. Coding Q&A:

 • NumPy: 40+ solved problems

 • Pandas: 70+ solved problems

 • 29 Python programs frequently asked in DE interviews (with solutions)

 • 85 basic Python programs every DE should know (with solutions)

 • Python hands-on coding notes

4. Theoretical Q&A: 32+

Pyspark

1. Book: 1 
2. Cheatsheet: 1
3. Coding Q&A: 100+ hands-on problems
4. PySpark Notes: 5
5. Theoretical Q&A: 156+

Data Warehousing

1. 25+ in-depth Q&A covering all warehousing concepts

Data Modeling

1. 25+ in-depth Q&A on modeling

Linux for Data Engineers

1. 100 most commonly used commands tailored for DE roles

GIT for Data Engineers

1. Cheatsheets: 2
2. In-depth Q&A: 62+

CI/CD for Data Engineers

1. In-depth Q&A: 50+

DSA for Data Engineers

1. DSA Notes
2. 54 DSA Problems with solutions for data engineers

System Design for Data Engineers

1. For Batch processing
2. For stream processing

AWS CERTIFICATION GUIDES:

1. AWS Certified Cloud Practitioner: 700 Q&A
2. AWS Certified Data Engineer - Associate: 240 Q&A
3. AWS Certified Solutions Architect - Associate: 1000 Q&A

AWS DATA ENGINEERING SERVICES:

AWS Glue

1. Scenario Based Q&A: 50
2. Theoretical Q&A: 130

AWS Redshift

1. Scenario Based Q&A: 50
2. Theoretical Q&A: 120

AWS EMR

1. Scenario Based Q&A: 40
2. Theoretical Q&A: 80

AWS Athena

1. Scenario Based Q&A: 45
2. Theoretical Q&A: 80

Amazon DynamoDB

1. Scenario Based Q&A: 34
2. Theoretical Q&A: 62

Amazon Kinesis Data Analytics

1. Scenario Based Q&A: 40
2. Theoretical Q&A: 50

Amazon S3

1. Scenario Based Q&A: 32
2. Theoretical Q&A: 78

AWS Lambda

1. Scenario Based Q&A: 20
2. Theoretical Q&A: 160+

AWS Step Functions

1. Scenario Based Q&A: 24
2. Theoretical Q&A: 70

21 MINI AWS DATA ENGINEERING PROJECTS

1. 13 In Detailed Project Articles (Links to projects are provided)
2. 8 Projects available on Youtube (Links to youtube videos are provided)

ADDITINAL IMP RESOURCES TO MAKE YOU JOB READY

1. 6 Resume templates for Data Engineers
2. Professional LinkedIn Profile Guide to get recruiters attention
3. Professional Naukri Profile Guide to get 9-10 interview calls weekly.
4. 30 In-detailed Data Engineering Interview Experiences
5. Behavioral Interview Guide
6. Product Sense Interview Guide
7. Data Engineering Blogs by Tech Companies
8. 14 Data Engineering GitHub repos
9. My personal notes (Hbase, Hive, Scala, Spark, sqoop)
10. Referral templates
11. AWS Data Engineer roadmap with free resources.
12. 100+ Free Datasets to practise the projects.

Note: This is a documentation-based product (PDFs)

Trust me, It covers everything, literally everything you need to crack any company for a Data Engineer role.

It took me almost 6 months hard work, research and consistency to make this.

So Grab it and prepare for the Interviews!!