AWS Data Engineer Track
Build 7 ready-made AWS data pipeline projects using Amazon S3, AWS Glue, Athena, Redshift, AWS DMS, Kinesis, Lambda, MWAA, Iceberg, and dbt.
Source code • Setup files • Architecture diagrams • Implementation videos • Support
AWS TRACK
AWS Data Engineer Track
7 ready-made AWS pipeline projects from batch ingestion to CDC, lakehouse, analytics, exports, and streaming.
S3 • Glue • Athena • Redshift • DMS • Kinesis • Lambda • MWAA • Iceberg • dbt
7 AWS pipeline projects included
Move from ingestion to lakehouse, analytics, exports, and streaming using real AWS services.
P01 • Batch Ingestion
PostgreSQL to S3 Data Lake with AWS Glue
Build a healthcare data lake ingestion pipeline on S3 using AWS Glue, Parquet, Glue Catalog, and Athena.
P02 • CDC Ingestion
PostgreSQL CDC to Amazon S3 with AWS DMS
Capture live PostgreSQL changes with AWS DMS and stream log-based CDC records into an S3 data lake.
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P03 • Lakehouse Processing
Create a Silver Lakehouse on Amazon S3 with Iceberg
Convert raw batch and CDC data in S3 into ACID-compliant Silver Iceberg tables using Glue, Athena, and MWAA.
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P04 • Gold Layer
Gold Dimension and Fact Tables with AWS Glue
Build Gold dimension and fact tables from Silver healthcare data using AWS Glue, Apache Iceberg, Athena, and MWAA.
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P05 • Analytics Layer
Create Redshift Analytics Marts with dbt
Create clinical, operations, finance, and executive analytics marts in Redshift using modular dbt workflows.
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P06 • Delivery Exports
Automate Redshift Analytics Exports to S3
Automate Redshift exports to S3 as Parquet files for downstream applications, reports, and business feeds.
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What you get
Everything needed to build, run, validate, and understand the AWS projects faster.
Source code
Ready-to-use project files and scripts.
Setup files
Guided setup for required AWS services.
Architecture diagrams
Visual flow of how each pipeline works.
Implementation videos
Step-by-step walkthroughs for building the projects.
Validation steps
Checks to confirm your pipeline output.
Support
Ask questions during setup, execution, validation, or architecture understanding.
Questions before you join?
Do I build this in my own AWS account?
Yes. The projects are built inside your own AWS account.
Does this include code and setup files?
Yes. Each project includes source code, setup files, architecture diagrams, implementation videos, validation steps, and Ask support.
What if I get stuck?
You can ask through course discussion or the Data0to1 Ask page.
Should I choose AWS Track or Ultimate Project Library ?
Choose AWS Track if you only want AWS projects. Choose Ultimate Project Library if you want AWS, Azure, and GCP projects together.
Ready to build AWS pipeline projects?
Get access to 7 AWS projects with code, setup files, architecture diagrams, implementation videos and support.