BigQuery and Python Pandas Wikipedia Analytics with Kestra

Forecast 7-day demand with OpenAI GPT-4o, auto-generate purchase orders for stockout-risk SKUs, and log them to PostgreSQL every 6 hours.

Trigger an Airbyte Cloud connection sync on a recurring schedule so your data lands fresh without manual runs.

Trigger an Apache Airflow DAG from Kestra and wait for it to finish.

Trigger multiple Airbyte connection syncs in parallel from a single Kestra flow to cut total ingestion time.

Turn any PDF, web page, or text document into structured JSON with OpenAI GPT-4o, then store the results in PostgreSQL and Slack.

Run Airbyte Cloud syncs in parallel, then trigger a dbt Cloud transformation job once the data lands.

Use BigQuery and Python script running in Docker to analyze Wikipedia