Real-Time Data Integration: Building ETL Pipelines with Apache NiFi and Cloud Data Warehouses

About the Course

This intensive training course equips data professionals with the skills to design and implement robust real-time data integration solutions using industry-leading tools and cloud platforms. Participants will gain hands-on experience building scalable ETL pipelines that connect diverse data sources to modern cloud data warehouses.

The course combines theoretical foundations with practical, project-based learning to ensure participants can immediately apply these concepts in production environments.

Course Objectives

• Understand real-time data integration architectures and design patterns for enterprise systems
• Configure and manage Apache NiFi for data flow orchestration and processing
• Develop secure, resilient data pipelines connecting multiple source systems
• Integrate data with cloud data warehouses including Snowflake, BigQuery, and Redshift
• Implement monitoring, error handling, and data quality controls in production pipelines
• Optimize pipeline performance and cost efficiency in cloud environments

Target Audience

This course is designed for data engineers, data architects, ETL developers, and IT professionals responsible for building and maintaining data integration solutions. Participants should have foundational knowledge of databases, SQL, and basic networking concepts. Prior experience with data warehousing or cloud platforms is beneficial but not required.

What You Will Benefit as a Learner

• Practical expertise in Apache NiFi configuration, processor development, and cluster management
• Hands-on experience building production-grade ETL/ELT pipelines
• Understanding of cloud data warehouse architecture and integration strategies
• Ability to implement data quality, governance, and security best practices
• Skills to troubleshoot complex data integration issues and optimize performance
• Knowledge of real-world use cases and enterprise integration patterns

Training Methodology

• Interactive classroom instruction combined with guided lab exercises and real-world scenarios
• Hands-on configuration and development of Apache NiFi flows using test environments
• Cloud platform demonstrations with major data warehouse providers
• Case study analysis of existing ETL architectures and optimization opportunities
• Group discussions and problem-solving sessions focused on enterprise challenges
• Capstone project where participants build end-to-end data integration solutions