🚫 Ongoing session enrollments are closed.

We are accepting only 100 enrollments for the August 2026 batch starting 1 Aug. Secure your spot before it fills up.

🎯 DE Interview Prep — Live Sessions

15 Days of Problems +
Build DE Project

Python · SQL · PySpark — same problem each day, two approaches. Then build a complete DE project: Bronze → Silver → Gold, SCD Type 2, CDC, backfill & tests.
All 4 sessions as one complete bundle — 10% off included.

4Sessions
2 HoursPer Session
30Questions Each
10%Bundle Off
Liveon Zoom
10% off · Recording included · 9:00 PM – 11:00 PM IST
❓ Frequently Asked Questions
🐍 Python for Data Engineering · Sat, 01 Aug 🗄️ SQL for Data Engineering · Sat, 01 Aug ⚡ PySpark for Data Engineering · Sat, 01 Aug 🛠️ Build a DE Project — Python, PySpark & SQL · Sat, 01 Aug 9:00 PM – 11:00 PM IST

Your Learning Path

15 days of Python · SQL · PySpark problems, then the Build DE Project — each step builds on the last.

Step 1
Sat, 01 Aug 2026 · 9:00 PM – 11:00 PM IST
Tap for full syllabus

🐍 Python for Data Engineering

Master the Python topics tested in DE interviews — loops, strings, lists, dicts, sets, file I/O, APIs, DSA patterns and generators. 15 days of problems, one session.

🧱
Core data structures & DSA patterns

For loops, enumerate, zip, HashMap, HashSet, Stack, Queue, Deque, heapq — used in real DE interviews

📂
File I/O, APIs & database connection

CSV, JSON, TXT handling; API pagination & JSON parsing; SQLite parameterized queries

⚙️
Generators, itertools & pipeline patterns

Comprehensions, generators for large files, itertools.groupby, copy vs deepcopy

🎯 30 Practice Questions included — 30 Python problems — data structures, file handling, DSA and pipeline patterns across all 15 days
Step 2
Sat, 01 Aug 2026 · 9:00 PM – 11:00 PM IST
Tap for full syllabus

🗄️ SQL for Data Engineering

Every SQL topic tested in DE interviews — filters, strings, dates, aggregation, joins, window functions, CTEs and mixed problems. 15 days, one session.

🪟
Window functions — ROW_NUMBER, RANK, LAG/LEAD

Rank employees per region, top-N per group, running totals, previous-row comparisons

🔗
Joins — INNER, LEFT, SELF, CROSS, FULL OUTER

Manager lookup via self join, customers with no orders, all join types with real DE datasets

📋
CTEs, subqueries & mixed revision

Multi-CTE pipelines, correlated subqueries, GROUPING SETS, ROLLUP, full mixed problems

🎯 30 Practice Questions included — 30 SQL problems — filters, joins, aggregations, window functions and CTEs across all 15 days
Step 3
Sat, 01 Aug 2026 · 9:00 PM – 11:00 PM IST
Tap for full syllabus

⚡ PySpark for Data Engineering

Solve every SQL problem from the roadmap again — using PySpark DataFrame API and Spark SQL. Same 15-day problem set, distributed computing approach.

🏗️
DataFrame API — same problems as SQL

filter(), where(), groupBy().agg(), join(), Window — every SQL pattern mapped to PySpark

📊
Window functions & aggregations in Spark

rank(), dense_rank(), lag(), sum().over(), ntile() — all 15 SQL window problems in PySpark

⚙️
Performance & architecture deep dive

Broadcast joins, repartition vs coalesce, data skew, AQE, shuffle explained for interviews

🎯 30 Practice Questions included — 30 PySpark problems — every SQL problem re-solved using DataFrame API and Spark SQL, plus architecture questions
Step 4
Sat, 01 Aug 2026 · 4:00 PM – 7:00 PM IST
Tap for full syllabus

🛠️ Build a DE Project — Python, PySpark & SQL

Four weekend sessions — build a complete local DE project from scratch using Python, PySpark and SQL. Bronze ingestion → Silver cleaning → SCD Type 2 → Gold layer.

🔄
Bronze ingestion layer

Read CSV files with PySpark StructType schema enforcement, write idempotent partitioned Parquet to data/bronze/

🧹
Silver cleaning + SCD Type 2

Business rule validation, deduplication, SHA-256 hash change detection, expire-and-insert SCD on dim_customers

🏅
Gold layer + project walk-through

Daily KPIs (orders, revenue, AOV), top products, idempotent backfill by date, interview walk-through prep

🎯 30 Practice Questions included — 30 project-based questions — Bronze/Silver/Gold design decisions, SCD vs CDC trade-offs, idempotency patterns and interview walk-through
Complete Bundle
All 4 Sessions — One Enrollment
Python · SQL · PySpark · Build DE Project  ·  9:00 PM – 11:00 PM IST
₹1508 ₹1676 10% OFF
Recording included · 30 practice problems per session · Live on Zoom
Step 5 · Coming Soon

⚙️ Advanced Orchestration

Kafka · Airflow · Databricks Delta Live Tables

🔒 Unlocking after Step 4 is complete
Step 6 · Coming Soon

🎤 Mock Interviews & System Design

Live mock rounds · Resume review · System design walkthroughs

🔒 Unlocking after Step 5 is complete

Frequently Asked Questions

Everything you need to know about the Live Sessions

Phase 1 is a 15-day problem solving sprint covering Python, SQL and PySpark — 9:00 PM – 11:00 PM IST daily. SQL and PySpark solve the same problem each day using two approaches. Phase 2 is the Build DE Project — four weekend sessions (Sat 21 Jun, Sun 22 Jun, Sat 28 Jun, Sun 29 Jun, 4 PM–7 PM IST) where you build a complete local DE pipeline: Bronze ingestion → Silver cleaning → Gold KPIs, with SCD Type 2, CDC, backfill CLI and pytest unit tests.
Yes — all sessions are conducted live on Zoom. Each session is 2 Hours with direct interaction, Q&A, and real-time problem solving with the instructor. Lifetime recording access is included — if you miss a session you can catch up anytime.
This is designed for working professionals with 3–5 years of experience targeting Senior/Mid-Senior DE roles (20–40 LPA). The pace is practical and interview-focused — not a zero-to-one intro course. You should be comfortable with basic Python or SQL to get the most out of it.
Yes — if you are from Software Engineering, Analytics, BI, or any tech-adjacent background, these sessions give you the three most tested DE interview skills (Python, SQL, PySpark) plus a complete portfolio project. The 15-day problem sprint covers everything from basics to medium-difficulty DE patterns.
The Build DE Project runs across four weekend sessions (Sat 21 Jun, Sun 22 Jun, Sat 28 Jun, Sun 29 Jun — 4 PM–7 PM IST). You build a production-grade local DE pipeline: idempotent Bronze ingestion, Data Quality framework, Silver cleaning with business rules, SCD Type 2 on customer and product dimensions, CDC change detection, a fact table with surrogate key lookup, sessionization from clickstream data, Gold KPI aggregations, RFM segmentation, a backfill CLI with argparse, and pytest unit tests with PySpark fixtures.
The sessions are offered as a single complete bundle — all four together. This ensures you get the full roadmap: 15-day problem sprint (Python, SQL, PySpark) followed by the Build DE Project weekends. The bundle price already includes a 10% discount.
Each weekday session includes 2 Hours of live instruction and 30 practice problems with solutions. The Build DE Project weekend sessions are 3 hours each (4 PM–7 PM IST). All sessions come with lifetime recording access and code shared via GitHub.
Total: ₹0