Storage Layer

Orchestrate an ETL Pipeline you own this product

This project is part of the liveProject series A Storage Layer for Big Data in AWS
Familiarity with AWS services and console • Knowledge of the Python programming language • Basic understanding of AWS Step Functions and their usage in orchestrating data pipelines • Basic understanding of AWS Glue workflows and their usage in data processing pipelines • Familiarity with AWS CloudWatch and its usage in monitoring data pipelines.
skills learned
Using AWS Step Functions and AWS Glue workflows to orchestrate data pipelines • Automating infrastructure using CloudFormation • Monitoring data in a data pipeline.
Gianluigi Mucciolo
1 week · 4-6 hours per week · INTERMEDIATE

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Look inside

Nextstellar Corp needs you to tackle a big challenge: completing their cloud migration by rebuilding their historical data lake as a data layer in the cloud. You’ll implement an effective and automated data orchestration framework for the ingestion and transform and curate layers, using best practices for Infrastructure-as-Code to automate your data layer. Finally, you’ll establish a monitoring system that will automatically alert you to any issues or problems that might crop up.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

book resources

When you start your liveProject, you get full access to the following books for 90 days.

project author

Gianluigi Mucciolo
Gianluigi Mucciolo specializes in AWS technologies and Agile methodologies. As an AWS Authorized Instructor and Cloud Technical Principal, he is dedicated to advancing cloud professionals' knowledge and participates in community-building initiatives. With a strong background in Artificial Intelligence and Big Data, Gianluigi constantly seeks growth opportunities.


This liveProject is for engineers who want to build a data lake lambda architecture using AWS fully managed services. You will need to know:

  • Basics of the Linux console
  • Basics of AWS
  • Basics of the AWS console
  • Basics of the AWS CLI

  • Basics of infrastructure automation
  • Basics of big data Lambda architecture

you will learn

In this liveProject, you’ll learn how to rebuild a historical data lake in the cloud, as well as establish an automated data orchestration framework.

  • Insights into orchestrating the ingestion phase for transactional and file data
  • Master scheduling and control of AWS Glue jobs for ETL and data quality checks
  • Automate and monitor infrastructure using Infrastructure-as-Code best
  • practices


You choose the schedule and decide how much time to invest as you build your project.
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book resources
Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.

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only $41.67 per month
  • five seats for your team
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
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  • Orchestrate an ETL Pipeline project for free