Data & Analytics · AI accelerator
ETL Pipeline Engine
DAG generation, scheduling and lineage tracking.
−50 to −70%
Pipeline dev time
−70%
SLA misses
95%+
Lineage coverage
4–6 months
Payback period
Ep
ETL Pipeline Engine
DA · No. 84 of 117
What it does
ETL Pipeline Engine in production
- Generates Airflow DAGs from source-to-target mappings
- Schedules jobs with dependency-aware retries and SLAs
- Tracks column-level lineage across every transformation
- Backfills failed partitions without manual reruns
- Converts legacy SSIS and Informatica jobs to code
- Alerts owners on late or failed runs
45-second film: the ETL Pipeline Engine tile, an animated mockup and the KPI impact.
How it ships
Live in 6–9 weeks, inside your perimeter
Deployment options
On-premise (air-gapped)Private cloudManaged cloudHybrid
Integrates with
Apache AirflowdbtSnowflakeDatabricksAzure Data FactoryAWS GlueInformatica
Technology stack
Apache AirflowOpenLineageMarquezdbt
Compliance & security
GDPRDPDPSOC 2 Type IIISO 27001
Data & Analytics
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See ETL Pipeline Engine running inside your environment
A 20-minute technical walkthrough, no slides. Ships in 6–9 weeks.