Data Engineering on AWS
Design and operate AWS data engineering pipelines for ingestion, transformation, storage, orchestration, analytics, security, and reliability.
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-by SkillDynamo
- 0 Students
- Last updated
Course Description
SkillDynamo’s Data Engineering on AWS training develops practical, source-aligned skills for design and operate AWS data engineering pipelines for ingestion, transformation, storage, orchestration, analytics, security, and reliability.
The 24 Hours curriculum is independently rewritten into four structured lessons. Learners move from essential concepts to implementation, secure operations, troubleshooting, applied scenarios, and solution validation.
What You Will Learn
- AWS data engineering architecture
- Batch and streaming ingestion
- Amazon S3 data storage patterns
- AWS Glue catalog and ETL
- Amazon Kinesis streaming
- Amazon Redshift analytics
Training Approach
Instructor-guided explanations, AWS service mapping, practical configuration or design activities, scenario analysis, validation checklists, and a final improvement plan.
Curriculum
- 1 Section
- 4 Lessons
- 24 Hours
SkillDynamo Expert Team
SkillDynamo Expert Team
Instructor-led delivery focused on the source-aligned scope of Data Engineering on AWS, with practical AWS service mapping, scenarios, validation, and troubleshooting.
- Structured explanations and demonstrations
- Applied exercises and design reviews
- Course-specific validation and improvement guidance
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