ETL Viewer Online

The ETL Viewer Online enables non-destructive inspection of data pipelines by rendering metadata, sample data, and transformation rules from configured sources. It is designed for data engineers, QA teams, and analysts who need rapid validation prior to full data loads. The tool emphasizes schema compatibility checks, data quality validation, and lineage visibility to support auditing and change control. It does not execute ETL jobs but focuses on accurate representation of data flow and transformation logic.
Conceptually it treats the pipeline as a sequence: source data enters, transformations apply business logic, and results are prepared for the destination. It infers schemas from samples, flags type mismatches, and reports drift between expected and observed data. Outputs include a validation report, a lineage graph, and sample outputs to verify mappings without moving production data.
Benefits include faster feedback during design reviews, improved reliability through early validation, and auditable artifacts that aid compliance and troubleshooting. The tool supports multiple sources and regional data with locale-aware formatting and time zone handling.
Use cases cover mapping validation, quality checks, and change audits, making it valuable for both development and QA workflows.