From QA to Azure Data Engineer|Complete Roadmap,Preparation strategy,Skills,Resume & Salary Insights

Описание: In this in-depth podcast, we sit down with Nikita Aulkar, an experienced Azure Data Engineer, who successfully transitioned from a Quality Analyst at Accenture to a Data Engineer at top MNCs.

If you are:

A student or working professional
Planning to switch to Data Engineering
Confused about tools, roadmap, resume, interviews, or salary

👉 This video is for YOU.

🔍 What You’ll Learn in This Video:

✅ Complete Data Engineer Roadmap (Beginner to Job-Ready)
✅ SQL & PySpark interview preparation strategy
✅ How to learn Cloud (Azure / AWS / GCP) effectively
✅ Why Databricks is trending & how to prepare for it
✅ How long it takes to become a Data Engineer
✅ Real interview questions & real-world scenarios
✅ ATS-friendly resume tips
✅ How to apply for jobs via LinkedIn & Naukri
✅ Salary negotiation tips & expected salary
✅ How to stay consistent
✅ How to manage job + learning + preparation

💼 Tools & Skills Discussed:

SQL (Interview-level)
PySpark (Performance tuning & optimization)
Azure Cloud
Databricks
Data Pipelines
Resume & ATS Optimization
LinkedIn Profile Optimization

This video is packed with real-world advice, practical strategies, and honest insights that can save you months of confusion.

Resources:
Link to Spark playlist:    • Spark Basic to Advance  
Link to Databricks playlist:    • Databricks  
Link to Databricks certification :    • Databricks Certifications  
Link to Big data:    • Big Data  
Link to Interview series for Pyspark (40+ questions):    • Interview Series  

Need Help ? Connect With me 1:1 : https://topmate.io/shilpa_das10

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