Data Pipeline Builder
Production data pipelines declared like prose — with contracts, lineage and quality SLAs that finally let data engineers sleep.
The brittle script era is over.
Most companies run their business on a quiet pile of ad-hoc python scripts and Airflow DAGs. The Pipeline Builder replaces the pile — declaratively — with first-class contracts, lineage and quality.
Engineers write what data should look like. The Builder figures out how to fetch it, transform it, validate it, version it and observe it. Reviewers see diffs in pull requests, not in dashboards at 6am.
Inside the engine.
Declarative ELT & streaming flows
Author flows as prose-like definitions — versioned in git, tested in CI, deployed without a 3am pager.
Data contracts & schema versioning
Producers and consumers sign contracts. Breakages happen in pull requests, not in production.
Lineage, freshness & quality SLAs
Every table carries its provenance. Quality SLAs are first-class citizens, not a Confluence afterthought.
Multi-destination deploys
Snowflake, BigQuery, Databricks, Postgres — same definition, same observability, no rewrites.
From scripts to a system.
Audit
We catalogue your existing flows and tag the brittle ones.
Migrate
Pipelines are rewritten declaratively, with tests and contracts attached.
Operate
Lineage, freshness, alerts — handed back to your team, fully owned.