You will apply advanced techniques to create professional-quality data flow diagrams that accurately represent complex enterprise data systems and support stakeholder collaboration.

You will establish the foundational understanding and core skills for creating modular data pipeline stages, focusing on the principles of separation of concerns and tool integration fundamentals.

You will implement complete end-to-end data pipelines by integrating modular components with industry-standard tools, culminating in comprehensive assessment of their pipeline development capabilities.

You will establish foundational knowledge of connector architecture and complete their first database connector configuration using Airbyte.

You will implement complete multi-source data integration by configuring streaming and API connectors, applying enterprise security patterns, and demonstrating mastery through comprehensive connector configuration.

You will understand the fundamental concepts of SCD2 logic and begin applying these principles to create data models that preserve historical context in enterprise data warehouses.

You will implement production-ready SCD2 models using dbt, creating automated historical tracking systems with proper change detection, validity periods, and current status management.

You will understand the foundational concepts and design principles for creating robust data workflows with Apache Airflow.

You will implement production-grade Airflow workflows with retry mechanisms, SLA monitoring, and parameterization for enterprise-ready data pipeline resilience.

You will integrate data engineering skills to build a complete automated data pipeline that processes diverse data sources, applies historical tracking, and orchestrates workflows. This project synthesizes mapping, transformation, integration, modeling, and automation capabilities into a production-ready data system.