🚀 Want to become a Pro Cloud Data Engineer in 2025?
In this video, I’ll walk you through the complete roadmap and skills you need to master data engineering across AWS, GCP, and Azure.
We’ll cover everything from foundational tools like SQL and Python to advanced topics like Spark, Data Modeling, Airflow, Snowflake, Databricks, and real-world data pipeline architectures.
Whether you’re a beginner or someone preparing for a Data Engineer interview, this guide will help you build a strong foundation and understand how all these technologies connect in the industry.
🔥 What You’ll Learn
Essential programming skills: SQL, Python, Pandas
Big data frameworks: PySpark, Apache Spark
Data warehouse & modeling concepts
Workflow orchestration with Airflow
Version control using Git & GitHub
Linux commands every data engineer should know
Cloud platforms: AWS (S3, EMR, Glue), GCP (BigQuery, Dataflow), Azure (Data Factory, Synapse)
End-to-end project architecture and real-world design patterns
Step By Step Path : https://docs.google.com/spreadsheets/...
Free Resource :
For Data Modelling and Spark in Hindi : / @manish_kumar_1
For Spark and Databricks in English : / @easewithdata
For Python, GIT , Linux , Pandas : / @codewithharry
For SQL Basics : / @rishabhmishraofficial
For SQL Interview : / @ankitbansal6
For AWS Handson and Theory : / @knowledgeamplifier1
For AZURE : / @azurelib-academy
Need Help ? Connect With me 1:1 - https://topmate.io/dewithdhairy
Let's connect on LinkedIn : / dhirajgupta141
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