Apply Now
Go to HomeGo to Courses Catalog
EN5 • Data EngineeringLEVEL 2 • INNOVATION TRACK

EN5-251 | Data Pipelines & ETL Development

Build automated ETL pipelines, data integration workflows, real-time data streaming, and database transformations.

Course Overview

Learn data engineering fundamentals. Build scalable Extract, Transform, Load (ETL) data pipelines using Python, Apache Airflow, dbt, and cloud data warehouses (Snowflake, BigQuery).

Course Curriculum & Modules

01Module 1: Data Pipeline Architecture & Ingestion Patterns
02Module 2: Workflow Orchestration with Apache Airflow
03Module 3: Data Transformation with dbt (data build tool)
04Module 4: Cloud Data Warehousing (Snowflake / BigQuery)
05Module 5: Automated End-to-End Data Pipeline Project

Data Engineering Department Pathway

Data Engineering focuses on relational SQL/NoSQL databases, automated ETL data pipelines, big data streaming (Spark/Kafka), cloud data warehouses, and enterprise data governance frameworks.

4-Level Progression Roadmap:

LEVEL 1EN5-151: Intro to Data & DatabasesLEVEL 2EN5-251: Data Pipelines & ETL DevelopmentCurrent CourseLEVEL 3EN5-351: Big Data Infrastructure & AnalyticsLEVEL 4EN5-451: Enterprise Data Strategy & Governance

Computer & Hardware Requirements

Processor:Intel i5/i7 or AMD Ryzen 5/7
Memory (RAM):16 GB RAM
Graphics Card:Standard graphics
Storage:150 GB SSD
Display:1080p display

Key Learning Outcomes & Benefits

  • ✓Build automated data ingestion pipelines with Python and SQL.
  • ✓Orchestrate complex workflows using Apache Airflow.
  • ✓Perform data transformations and modeling using dbt.
  • ✓Ensure data quality, validation, and automated testing.