Crack 30 LPA Data Engineer Job in 180 Days 🚀

This is the exact roadmap and preparation strategy that I personally followed to crack a 30 LPA Data Engineer role.

The goal of this mentorship is not just learning concepts — it is to make you fully interview-ready with a structured 180-day execution plan.

Whether you are a fresher, working professional, or someone trying to switch into Data Engineering, this roadmap will help you prepare in a practical and industry-focused way.

What You Will Get

✅ Complete 180-Day Data Engineering Roadmap

A step-by-step preparation plan covering:

• SQL from basic to advanced
• Python for Data Engineering
• PySpark and Spark Optimization
• Snowflake
• Databricks
• Microsoft Fabric
• Azure Data Factory / ETL Concepts
• Data Warehousing
• Real-time Interview Scenarios
• System Design for Data Engineers
• Project Building Strategy
• Resume & Profile Preparation
• Mock Interview Guidance

Every topic is arranged in the correct sequence so you know exactly:

• What to study
• When to study
• How much to practice
• What companies actually ask

🎯 Top 50 Companies Most Asked Interview Questions

You will get a curated collection of frequently asked interview questions from top product-based and service-based companies including:

• Accenture
• Deloitte
• TCS
• Infosys
• Wipro
• Capgemini
• Cognizant
• PwC
• LTIMindtree
• HCL
• Product Companies & Startups

Questions will include:

• SQL
• PySpark
• Snowflake
• ETL Scenarios
• Data Warehousing
• Optimization
• Real-time Production Issues
• Scenario-Based Questions

📘 Roadmap PDF Included

You will receive a detailed PDF roadmap containing:

• 180-day preparation schedule
• Daily/weekly targets
• Topic sequence
• Practice strategy
• Interview preparation flow
• Resource recommendations

📞 Weekly 1:1 Support

Half-Hour Weekly Call Support

• 30-minute mentorship/support call every week
• Doubt clearing
• Interview guidance
• Career strategy discussion
• Preparation tracking

💬 WhatsApp Chat Support

You will get continuous WhatsApp support for:

• Quick doubts
• Career guidance
• Interview preparation questions
• Motivation & consistency tracking

📄 Resume & Profile Preparation

I will help you with:

• ATS-friendly resume preparation
• LinkedIn optimization
• Naukri profile optimization
• Project positioning
• Experience explanation strategy

🔍 Job Application Strategy

Learn:

• How to connect with HRs and recruiters
• How to approach hiring managers
• How to apply directly to consulting companies
• How to get interview calls consistently
• Referral strategies
• Cold messaging templates

💡 Who Is This For?

• Aspiring Data Engineers
• ETL Developers
• BI Developers
• Software Engineers switching to Data Engineering
• Working professionals targeting higher packages
• Anyone serious about cracking 20–30+ LPA roles

🚀 End Goal

By following this roadmap with consistency, you will have:

• Strong fundamentals
• Real interview-level problem-solving skills
• Industry-relevant projects
• Optimized profiles & resume
• Confidence to crack top Data Engineering interviews

This is not random guidance — this is the exact preparation structure that helped me crack a 30 LPA Data Engineer role.