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Hand-coded, point-to-point ETL jobs built one source at a time.
Data engineering teams onboarding new sources continuously.
Generated pipelines, quality checks on every run, and lineage by default.
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Why this module matters
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Hover any stage below to pause and inspect it — the flow keeps moving on its own otherwise.
Key capabilities
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A closer look at the screens your team will use day to day.
Pipeline selection — pick portfolios and pipelines, then validate before running
Live execution monitor — step-by-step progress with streaming logs
Results dashboard — rows migrated, dropped and per-source breakdown across a batch
Run history — revisit any past batch and reload its results
Scheduling — automate recurring pipeline runs on an hourly, daily or weekly cadence
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Explore the other modules
Each module stands alone, and they share one metadata layer when you run them together.
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