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

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):    • Pyspark Interview Series   Need Help ? Connect With me 1:1 : https://topmate.io/shilpa_das10 👉 𝗝𝗼𝗶𝗻 𝗚𝗿𝗼𝘂𝗽 𝗛𝗲𝗿𝗲 𝘁𝗼 𝗚𝗲𝘁 𝗦𝘂𝗰𝗵 𝗠𝗼𝗿𝗲 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 : https://whatsapp.com/channel/0029Vb5j... 📌 Subscribe to Shilpa Data Insights for more content on: Data Engineering | Data Analytics | Career Guidance | Interviews | Cloud & Big Data 👍 If this video helps you, don’t forget to Like, Share & Subscribe.