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BATCH 08 · July 2026 · BENGALURU

Become a Data Engineer
in 3 months.

Master SQL, Python, PySpark & Airflow. Build 3 real pipelines. Crack interviews targeting ₹8L–₹70L. Only 30 seats per batch.

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4
Tools
SQL·Python·Spark·Airflow
3
Months
Structured curriculum
3
Projects
Real pipelines
30
Seats
Small batch, personal attention
₹30k
Fee
Was ₹50,000
FREE WORKSHOP
60-Minute DE Masterclass

5th July 2026, 10:00 AM IST
Zoom / Google Meet · 100% Free · No experience needed

Walk away knowing exactly what Data Engineers do, which tools to learn first, and what salary to target.

Register Free →
3-MONTH COURSE · July 2026
Data Engineering Bootcamp
₹30,000 ₹50,000 40% OFF

SQL · Python · PySpark · Airflow · 3 real projects · Mock interview included · Lifetime study materials

Enrol Now →
WHAT YOU LEARN
4 tools. Every DE job asks for them.
🗄️
SQL & Snowflake
Foundation
The language every data tool runs on. Joins, window functions, CTEs, Snowflake architecture, Time Travel.
🐍
Python
Automation
pandas, file I/O, OOP, decorators, error handling. Write production-grade pipeline code.
PySpark
Scale
Process millions of rows in seconds. DataFrame API, broadcast joins, Delta Lake, partitioning.
🔄
Apache Airflow
Orchestration
DAGs, sensors, operators, Slack alerts, retries. Pipelines that run and recover themselves.
WHAT YOU WALK AWAY WITH
Concrete outcomes, not just a certificate.
🔧
4 Tools Mastered
SQL, Python, PySpark, Airflow — the exact stack on 90% of DE job postings.
📂
3 GitHub Projects
Real pipelines, real data. Show them in interviews instead of listing skills.
🎯
Mock Interview
1-on-1 technical interview with live feedback on answers and communication.
📚
Lifetime Materials
Complete PDF study guides for all 4 tools. Access forever.
💰
Salary Confidence
₹8L fresher to ₹70L senior — mapped out by role, city and experience.
🤝
Batch Community
Group chat with all students. Ask, share, and stay connected after the course.
BATCH 08 · 8 SEATS LEFT
Start your DE career this July 2026.

3 months · 4 tools · 3 projects · mock interview · ₹30,000 all in.

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