The notes we actually revise from before interviews.
Spark, SQL, Kafka, Snowflake, Airflow, dbt, warehousing, system design — written as revision notes, not textbooks. Read every page right here. Downloading takes one Google sign-in, and nothing else.
- PDF notes
- 51
- pages of revision
- 1,106
- topics covered
- 19
PDF notes
pages of revision
topics covered
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NewAI & LLMsMachine Learning Basics
20 pages1.5 MB
NewAnalyticsProduct & Business Metrics
20 pages1.5 MB
CloudCloud Networking — Complete Notes
20 pages1.9 MB
Interview PrepProduct Company DE Interviews — Every Round Decoded
20 pages1.6 MB
The library
51 PDF notes, free to keep
- NewAI & LLMs
Machine Learning Basics
20 pages1.5 MB
- NewAnalytics
Product & Business Metrics
20 pages1.5 MB
- Cloud
Cloud Networking — Complete Notes
20 pages1.9 MB
- Interview Prep
Product Company DE Interviews — Every Round Decoded
20 pages1.6 MB
Interview Prep100 Power BI Questions & Answers
20 pages1.4 MB
ModelingData Modelling — Complete Notes
20 pages1.7 MB
CloudAzure Storage — Complete Notes
20 pages1.7 MB
FundamentalsWhat is Data Engineering — Day 1 Complete Notes
20 pages1.8 MB
Interview PrepNetflix — Data Engineering Interview Notes 2026
20 pages1.8 MB
Interview PrepMeta — Data Engineering Interview Notes 2026
20 pages1.7 MB
Interview PrepApple — Data Engineering Interview Notes 2026
20 pages1.6 MB
Interview PrepAmazon — Data Engineering Interview Notes 2026
20 pages1.8 MB
Data QualitySilent Data Failures — Complete Notes
20 pages1.7 MB
BI & VizPower Query — Complete Notes
20 pages1.6 MB
CloudCloud Data Engineering — Complete Notes
20 pages1.6 MB
Career SwitchNon-Tech to Data Engineer — Complete Roadmap
20 pages1.6 MB
Architecture7 Data Engineering Concepts — Complete Notes
20 pages1.7 MB
Interview PrepA Day in the Life of a Data Engineer — Complete Notes
20 pages1.7 MB
SQLDaily SQL Queries — 99% Asked in Interviews
10 pages775 KB
PythonPython Data Cleaning — Complete Notes
20 pages1.8 MB
PipelinesEnd to End Batch Pipeline Notes
20 pages1.6 MB
StreamingReal-Time Streaming Pipeline — Complete Notes
20 pages1.7 MB
AnalyticsStatistics for Analysts
20 pages1.4 MB
ArchitectureThe Data Engineering Ecosystem
20 pages1.4 MB
CloudAWS + GCP — Scenario Questions
20 pages1.6 MB
Big DataAWS EMR — Complete Notes
21 pages1.7 MB
AI & LLMsTransformers & LLMs — Complete Notes
20 pages1.8 MB
SQLSQL Window Functions
20 pages1.4 MB
Interview PrepIBM — Interview Questions
20 pages1.4 MB
AnalyticsFundamentals of Data Analysis
20 pages1.4 MB
WarehouseAmazon Redshift — Complete Notes
20 pages1.7 MB
Interview PrepPython — Interview Q&A
20 pages1.4 MB
Interview PrepData Engineering — Interview Prep Notes
20 pages1.3 MB
BI & VizDAX — Complete Notes
20 pages1.4 MB
Transformationdbt — Complete Notes
20 pages1.6 MB
BI & VizTableau — Complete Notes
20 pages2.2 MB
Big DataSpark & PySpark — Complete Notes
20 pages1.5 MB
WarehouseSnowflake — Complete Notes
20 pages1.7 MB
SQLSQL Interview Playbook
46 pages103 KB
StreamingApache Kafka — Complete Notes
20 pages1.9 MB
CloudGoogle Data Engineering — Interview Notes 2026
20 pages1.6 MB
Interview PrepExcel Interview Playbook
43 pages152 KB
Interview PrepEdge Cases Playbook
66 pages235 KB
PipelinesETL, ELT & Modern Pipelines — Complete Notes
20 pages1.5 MB
ModelingData Warehousing & Modeling — Complete Notes
20 pages1.4 MB
ArchitectureData Lakes & Lakehouse — Complete Notes
20 pages1.6 MB
System DesignData Engineering System Design — Complete Notes
20 pages1.4 MB
Big DataAzure Databricks — Complete Notes
20 pages2.1 MB
CloudAzure Data Engineering — Interview Notes 2026
20 pages1.7 MB
OrchestrationApache Airflow — Complete Notes
20 pages1.6 MB
CloudAWS Data Engineering — Complete Notes
20 pages1.5 MB
Two free ways to see where you stand
After the notes
Notes get you through the revision. These get you through the interview.
Read them in order if you like — the free library first, then the deep-dive modules, then the live cohort when you want someone reviewing your work.
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Watch the lessons behind the notes
SQL, Python, Power BI, PySpark and Excel — full video lessons with MCQs and a proctored skill test at the end. The notes are the summary; this is the teaching.
Open the free libraryLearn Pro · one pass
6 deep-dive modules, 29 sessions
Complete PySpark and Databricks modules — recorded end to end, with the project notebooks and optimisation guides that go with them.
See what's insideAI-Powered Data Engineering Cohort 4 · starts 26 September 2026
The mentor-led data engineering cohort
Live weekend classes (Sat–Sun · 7 AM–10 AM IST), real projects, assignments that get graded, and placement support — the full path, taught with you in the room.
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