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Data Engineering with Python and AWS Lambda

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Price: 8.00 USD | Size: 1.61 GB |   Duration : 6.24 Hours  | 61 Video Lessons 

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Description

Data Engineering with Python

Data Engineering with Python and AWS Lambda is your gateway to mastering serverless data pipelines, scalable ETL solutions, and automation on the cloud using real-world Python projects.

Course Description

This comprehensive course, Data Engineering with Python and AWS Lambda, empowers you with the practical skills needed to build data pipelines, process data in real-time, and manage workflows using modern cloud technologies. Designed for aspiring data engineers and backend developers, this course provides an in-depth introduction to working with AWS services such as Lambda, S3, Glue, and CloudWatch, all through the lens of Python programming.

Throughout the course, you’ll explore how to design scalable, serverless architectures for data processing tasks using AWS Lambda. Moreover, you will learn to automate and orchestrate your ETL workflows efficiently. The projects included are inspired by real-world scenarios, giving you hands-on experience that employers value.

Whether you’re transitioning into a data engineering role or enhancing your cloud automation skills, this course lays a solid foundation. It emphasizes best practices, real-world problem-solving, and infrastructure management using Infrastructure as Code (IaC).

What You’ll Learn

  • Build serverless data pipelines using AWS Lambda and Python
  • Ingest and transform data using AWS S3 and Glue
  • Implement monitoring and logging with CloudWatch
  • Use Infrastructure as Code with AWS CloudFormation
  • Automate ETL workflows and schedule jobs
  • Deploy reusable and scalable cloud functions

Requirements

  • Basic knowledge of Python programming
  • Familiarity with AWS services is helpful but not required
  • Internet connection and an AWS Free Tier account

About the Publication

This course is crafted by leading industry professionals with years of experience in cloud data engineering and DevOps. They have trained thousands of students and contributed to enterprise-level cloud transformations.

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