Product Title - Complete Interview Preparation Material for AWS Data Engineers.
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Here is a detailed list of what is provided:
CORE TOPICS:
SQL
- Books: 5
- Cheatsheets: 3
- Coding Q&A: 175+ solved problems
- SQL Concepts Notes
- SQL Notes: Interview-ready tips
- Theoretical Q&A: 170+
Python
- Books: 5
- Cheatsheets: 6
- 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
- Book: 1
- Cheatsheet: 1
- Coding Q&A: 100+ hands-on problems
- PySpark Notes: 5
- Theoretical Q&A: 156+
Data Warehousing
- 25+ in-depth Q&A covering all warehousing concepts
Data Modeling
- 25+ in-depth Q&A on modeling
Linux for Data Engineers
- 100 most commonly used commands tailored for DE roles
GIT for Data Engineers
- Cheatsheets: 2
- In-depth Q&A: 62+
CI/CD for Data Engineers
- In-depth Q&A: 50+
DSA for Data Engineers
- DSA Notes
- 54 DSA Problems with solutions for data engineers
System Design for Data Engineers
- For Batch processing
- For stream processing
AWS CERTIFICATION GUIDES:
- AWS Certified Cloud Practitioner: 700 Q&A
- AWS Certified Data Engineer - Associate: 240 Q&A
- AWS Certified Solutions Architect - Associate: 1000 Q&A
AWS DATA ENGINEERING SERVICES:
AWS Glue
- Scenario Based Q&A: 50
- Theoretical Q&A: 130
AWS Redshift
- Scenario Based Q&A: 50
- Theoretical Q&A: 120
AWS EMR
- Scenario Based Q&A: 40
- Theoretical Q&A: 80
AWS Athena
- Scenario Based Q&A: 45
- Theoretical Q&A: 80
Amazon DynamoDB
- Scenario Based Q&A: 34
- Theoretical Q&A: 62
Amazon Kinesis Data Analytics
- Scenario Based Q&A: 40
- Theoretical Q&A: 50
Amazon S3
- Scenario Based Q&A: 32
- Theoretical Q&A: 78
AWS Lambda
- Scenario Based Q&A: 20
- Theoretical Q&A: 160+
AWS Step Functions
- Scenario Based Q&A: 24
- Theoretical Q&A: 70
21 MINI AWS DATA ENGINEERING PROJECTS
- 13 In Detailed Project Articles (Links to projects are provided)
- 8 Projects available on Youtube (Links to youtube videos are provided)
ADDITINAL IMP RESOURCES TO MAKE YOU JOB READY
- 6 Resume templates for Data Engineers
- Professional LinkedIn Profile Guide to get recruiters attention
- Professional Naukri Profile Guide to get 9-10 interview calls weekly.
- 30 In-detailed Data Engineering Interview Experiences
- Behavioral Interview Guide
- Product Sense Interview Guide
- Data Engineering Blogs by Tech Companies
- 14 Data Engineering GitHub repos
- My personal notes (Hbase, Hive, Scala, Spark, sqoop)
- Referral templates
- AWS Data Engineer roadmap with free resources.
- 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!!
This guide made my AWS Data Engineer interview prep much easier! The questions were practical, easy to understand, and covered the key topics I needed. It helped me prepare with more confidence and avoid random searching. Definitely recommended for AWS Data Engineer interview preparation!
I was jumping between YouTube videos and different websites for my AWS DE prep. This guide put everything in one place. The AWS services + SQL + Python + PySpark sections were really helpful.
Honestly, this guide saved me a lot of time. I was confused about what to prepare for AWS Data Engineer interviews, but having SQL, Python, PySpark, AWS services, DSA, and projects in one place made everything much easier.
I bought this AWS Data Engineer Interview Prep Kit and it was exactly what I needed. SQL, Python, PySpark, DSA, AWS services, and 21 real projectss everything is organized in one place. It saved me hours of searching and gave me a clear path for interview preparation.
I was looking for one resource that covered everything for my AWS Data Engineer interview, and this kit was exactly what I needed. SQL, Python, PySpark, DSA, AWS services, and even 21 projects everything is organized in one place. It saved me hours of searching and gave me a clear interview preparation path.