Building ETL Pipelines
Create data pipelines that extract, transform, and load data from multiple sources into data warehouses or lakes using Python, SQL, and R.
Real-time Data Processing
Implement streaming data ingestion and transformation pipelines to handle real-time analytics and monitoring.
dbt-based Analytics Workflows
Develop reusable data models by integrating dbt projects with Python and SQL within the pipeline environment.