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BATCH 08 · July 2026 · 8 SEATS LEFT
3-Month Data Engineering Course
SQL · Python · PySpark · Airflow · 3 real projects · Mock interview · Lifetime materials
₹30,000 ₹50,000 You save ₹20,000 (40% off)
22 of 30 seats filled ⚠ 8 seats remaining
Starts
July 2026
Duration
3 months
Format
Online · Zoom
Batch size
Max 30 seats
Sessions
12 weeks live
Fee
₹30,000 one-time
WHAT IS INCLUDED
✓12 weeks of live Zoom sessions
✓SQL + Snowflake (Weeks 1–2)
✓Python for Data Engineering (Weeks 3–4)
✓PySpark — distributed computing (Weeks 5–6)
✓Apache Airflow — orchestration (Weeks 7–8)
✓3 real pipeline projects (Weeks 9–11)
✓Mock 1-on-1 technical interview (Week 12)
✓PDF study materials — lifetime access
✓Session recordings shared within 24h
✓Batch community group access
✓Resume review session
✓Salary negotiation guidance
WEEK-BY-WEEK CURRICULUM
MONTH 1
MONTH 01 — FOUNDATIONS
W1
SQL Foundations & Joins
SELECT, WHERE, GROUP BY, HAVING, ORDER BY · INNER/LEFT/RIGHT/FULL joins · Subqueries · CTEs · Indexes
W2
Advanced SQL & Snowflake
Window functions (ROW_NUMBER, RANK, LAG, LEAD) · Snowflake architecture · Virtual Warehouses · Stages · COPY INTO · Time Travel · Streams & Tasks
W3
Python for Data Engineering
Variables, data types, control flow · Functions, comprehensions · File I/O · CSV, JSON, Parquet · pathlib, os · APIs with requests
W4
Python Advanced + pandas
OOP & classes · Decorators · Error handling & logging · pandas full reference · GroupBy · Merge · Data cleaning pipeline
MONTH 2
MONTH 02 — DISTRIBUTED COMPUTING & ORCHESTRATION
W5
PySpark Architecture & Core
Driver, Executors, Partitions, DAG · SparkSession · Schema & types · select, filter, withColumn, CASE WHEN · String & date functions · GroupBy & agg
W6
PySpark — Joins, Windows & Performance
All join types · Broadcast joins · Window functions · Partitioning & caching · AQE · Delta Lake · UDFs & Pandas UDFs
W7
Airflow — DAGs, Operators & Scheduling
Architecture · TaskFlow API · Operators (Python, Bash, Branch) · Cron expressions · Logical date · catchup · Dependencies · TaskGroups
W8
Airflow — Production Patterns
XComs · Variables · Connections · Sensors · Trigger rules · Slack callbacks · Testing DAGs · Backfill & CLI
MONTH 3
MONTH 03 — PROJECTS & INTERVIEW PREP
W9–10
Projects 1 & 2 — E-Commerce + Crypto Pipelines
Build end-to-end pipelines with real data · Python extraction · PySpark transformation · Snowflake loading · Airflow scheduling · Slack alerts
W11
Project 3 — Capstone (your choice)
Design your own pipeline · Choose your dataset · implement extract → transform → load → orchestrate · Full code review session
W12
Mock Interview + Career Session
1-on-1 technical mock interview · Real DE questions · Resume review · Salary negotiation · Bengaluru market insights
REAL PROJECTS — NOT TOY EXAMPLES
PROJECT 01
E-Commerce Pipeline (Olist)
Extract 100k+ orders from Kaggle. PySpark transform. Load to Snowflake. Airflow DAG at 6 AM daily.
Python · PySpark · Snowflake · Airflow · S3
PROJECT 02
Crypto Price Tracker
CoinGecko API → 24h moving averages → Snowflake → Slack alert when BTC moves > 5%.
Python · SQL · Snowflake · Airflow · Slack API
PROJECT 03
Capstone — Your Pipeline
You pick the dataset. You design the pipeline. We review together. This is what you show in interviews.
All 4 tools · Your choice
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