Accelerate your growth as a
Data Engineer with end-to-end
pipeline projects.

Get lifetime access to a growing library of guided, company-style AWS, Azure, and GCP projects.

Every project includes

Built inside your own cloud account

Tools covered across Projects
Databricks Airflow Apache Iceberg Delta Lake BigQuery AWS Glue Amazon Redshift Azure Data Factory Azure Synapse AWS Athena Google Cloud Dataflow AWS Kinesis AWS S3 ADLS Gen2 Azure Event Hubs GCP Pub/Sub AWS Lambda Kinesis Firehose Google Cloud Storage Azure Functions Cosmos DB AWS DMS BigQuery ML

Best for

Aspiring Data Engineers

Build portfolio projects you can explain in interviews.

Working Data Engineers

Speed up your development with ready-to-use projects

WHY DATA0TO1

No locked browser labs. No disconnected demos.

Data0to1 gives you complete data pipeline projects you build inside your own cloud account — with source code, setup files, architecture walkthroughs, videos, and execution guidance.

Project need
Typical tutorials / labs
Data0to1
Learning environment
Browser labs / demo sandboxes
Your own AWS, Azure, or GCP account
Project setup
Hidden or preconfigured setup
Guided setup files and steps
Project structure
Lessons, snippets, or notebooks
Complete project repo and folders
Service flow
One tool at a time
Services connected in one pipeline
Execution
Passive screen-watching
Run and validate the pipeline yourself
Project assets
Scattered code or examples
Code, setup, architecture, videos, and guidance

Choose your project access

Start with one cloud track or unlock the full AWS, Azure, and GCP project library.

BEST VALUE

Ultimate Data Engineering Project Library

Access AWS, Azure, and GCP pipeline projects in one package.

20+ projects • All cloud tracks • Source code • Setup files • Architecture walkthroughs • Videos • Execution guidance • Support

₹4,999 / $59

One package. All cloud tracks.

Or start with one cloud track

AWS Track

₹2,499 / $29

S3 • Glue • Athena • Redshift • DMS • Kinesis • MWAA • Iceberg

Azure Track

₹2,499 / $29

ADF • ADLS Gen2 • Databricks • Delta Lake • Synapse • Event Hubs

GCP Track

₹2,499 / $29

BigQuery • GCS • Pub/Sub • Dataflow • Composer • Cloud SQL

FAQ

Questions before you start?

Here are the common questions learners have before joining Data0to1.

Is Data0to1 a course or a project library?

Data0to1 is a project-based learning library for Data Engineering. Each project includes implementation videos, source code, setup files, architecture walkthroughs, and execution guidance so you can build and understand complete pipeline projects.

Yes. You will build these projects inside your own cloud account instead of a locked sandbox. Don’t worry if you are new to the cloud—we provide step-by-step guidance on how to set up your accounts from scratch. This helps you understand how services are created, connected, executed, and cleaned up in a real cloud environment.

Yes, our projects are designed to fit within the cloud providers’ free tiers and credits. Provided you follow our guidance and cleanup steps, you can easily shut down services and keep your learning free.

No cloud experience is required. We explain all setup and implementation steps inside the projects. However, having a basic understanding of SQL, Python, and general Data Engineering concepts will help you get the most out of the library.

Projects include source code, setup files, architecture explanation, implementation videos, execution steps, and guidance to understand how the pipeline works end to end.

You can ask questions through the project discussion area. We are here to help you resolve any issues and successfully complete your projects.

Choose a single cloud track if you want to focus exclusively on AWS, Azure, or GCP. Choose the Ultimate Project Library for full access to all projects across AWS, Azure, and GCP. If you are unsure, the Ultimate Project Library offers the best long-term value for multi-cloud data engineers.

Ready to build End to End Data Engineering projects?

Start with ready-made end-to-end pipeline projects across AWS, Azure, and GCP — with code, setup files, architecture walkthroughs, and implementation videos.