Modernize your pipelines

The estate already exists. It has to move, change platform, or stop depending on a license. Regenerate it instead of rewriting it by hand.

Migrate your legacy pipelines

  • Legacy script migration

    Undocumented Python, shell and stored procedures turned into tested pipelines thanks to a data sample.

  • Schema reconstruction

    The output contract rebuilt from the data when no documentation survived.

  • Target-specific generation

    Same source, regenerated for Snowflake, BigQuery, Databricks, etc.

  • Standardize your new projects

    Standardizes code, documentation and tests, ensuring consistency and testability across all projects.

Generate
  • data_ingestion/
  • data/
  • lib/
  • tests/
  • quality/
  • config/
  • docs/
  • pipeline.py
  • schema.json
  • requirements.txt

Get out of a proprietary ETL platform

  • Transformation logic clearly rewritten

    What the platform does, expressed as code your team can read.

  • Open-source output

    Python, SQL and dbt, versioned in your repository like everything else.

  • Orchestration you own

    Airflow, Prefect or Dagster instead of a proprietary scheduler.

  • Skills you can actually hire

    Python, SQL and dbt, instead of a proprietary certification.

Proprietary ETL
  1. FILTER status = ACTIVE
  2. JOIN orders
  3. MAP customer_id
  4. AGGREGATE revenue
Rewritten
-- customer_revenue.sqlSELECT c.customer_id, c.name, SUM(o.amount) AS total_revenueFROM customers cJOIN orders o ON o.customer_id = c.customer_idWHERE c.status = 'ACTIVE'GROUP BY c.customer_id, c.name;

Unify ingestion across cloud, hybrid and on-prem

  • A single tool

    A single tool to develop your ingestion layer across all your environments.

  • Portable by default

    The same pipeline can run on-prem, on Azure, on AWS or on GCP.

  • One set of conventions

    Every pipeline shares a structure, whoever wrote it and wherever it runs.

  • Consistent observability

    The same logging and the same error contract across every environment.