← All courses
Data Pipelines and ETL Engineering — learning tools
Upcoming
Intermediate
48 estimated hours
Data Engineering
Taught in English

Data Pipelines and ETL Engineering

Build a reliable fictional commerce ingestion and transformation pipeline.

Data Pipelines and ETL Engineering develops practical capability through six curriculum modules combining focused lessons, guided activities and assessed deliverables. Build a reliable fictional commerce ingestion and transformation pipeline. The six-week outline is an estimated learning sequence, not a confirmed cohort timetable; tutors and administrators configure actual dates separately.

Learning outcomes

  • Design a commerce ingestion pipeline.
  • Implement incremental order ingestion.
  • Create tested transformations.
  • Orchestrate a multi-stage pipeline.
  • Add data-quality and reconciliation checks.

Who it's for

Data engineers and analysts

Prerequisites

Python and SQL foundations

Learning tools

Python, PostgreSQL and a local orchestration tool

Estimated learning time

48 hours · 6 curriculum modules

Curriculum

Final project

Build a reliable fictional commerce ingestion and transformation pipeline.

Completion & certificates

  • Complete each published lesson.
  • Submit every practical assignment and the final project.
  • Satisfy the published assessment criteria in tutor or administrator review.
  • Receive administrator completion review before certificate eligibility.

Certificate eligibility requires verified completion and administrator review. No certificate has been issued for this course.

Cohorts & class dates

No cohort dates have been confirmed. The curriculum sequence is not a scheduled class timetable.