SQL & ETLData layer

SQL & ETL pipeline development

Pipelines that pull data from every app, clean it and land it where reporting and AI can use it: scheduled, logged and testable.

What we build

What we build with SQL & ETL

ETL pipelines

Extract from APIs, files and databases; transform with SQL; load into PostgreSQL.

Reporting models

SQL models and views that keep dashboards fast and consistent.

Data quality checks

Automated tests and alerts when data looks wrong.

Why Widle

Pipelines you can check, not just trust

We build pipelines when your data is spread across apps and spreadsheets, and make sure the numbers still match at the other end.

  1. 01

    One source of truth

    Consistent definitions so every team reports the same numbers.

  2. 02

    Observable

    Logs, retries and alerts on every run.

  3. 03

    Tool-flexible

    Python, SQL, n8n or a managed ETL tool: we pick the cheapest option that will still cope with next year’s volume.

SQL & ETL FAQs

Which sources can you connect?

Most SaaS APIs, databases, spreadsheets, CSV or SFTP drops and email attachments.

Real time or batch?

Batch for most reporting; event-driven pipelines where minutes matter.

Numbers that don’t match across tools?

Tell us what you want it to do. In a free 30-minute call we’ll say whether ETL is the right fit and where we’d start.

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