Robust cloud-native ETL pipeline with advanced orchestration and error tracking.
Custom ETL scripts often lack visibility, fail silently, or become difficult to manage as data volume and complexity grow.
A resilient, observable ETL infrastructure capable of handling millions of records with automated retry logic and error reporting.
Source control and deployment automation
Application performance monitoring
This expert-level workflow focuses on high-scale data engineering. It uses GitHub for version-controlled ETL scripts, Airbyte for high-volume ingestion, and AWS for scalable compute and storage. Prefect serves as the control plane to orchestrate complex dependencies, while Sentry provides deep observability into python-based transformation errors.
