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ELT & Warehouse Loading

AI Business Cloud Core Data Infrastructure

26 Blueprints

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Airbyte to dbt to Hightouch Activation with Slack Notification

Airbyte ingests, dbt transforms, Hightouch activates, Slack confirms, the full reverse-ETL chain in one flow.

Automate Cross-Cloud ETL from Azure Blob Storage to BigQuery with dbt Cloud

Event-driven cross-cloud ETL that loads new Azure Blob CSV files into BigQuery and triggers a dbt Cloud transformation job.

Build a Python ELT pipeline to extract Google Analytics data and load it into DuckDB with dlt

Create a production-ready ELT pipeline in Python that pulls analytics data from Google Analytics (GA4) and loads it into DuckDB using dlt (data load tool).

Build a Python pipeline to load JSON API data into DuckDB using dlt

Extract JSON from a REST API and load it into DuckDB with dlt, fully orchestrated in a single Python task.

Build an ETL Pipeline from Cassandra to BigQuery Using CSV Export

Extract Cassandra data with CQL, serialize it to CSV, and load it into Google BigQuery for analytics.

Build an ETL Pipeline with Airbyte Cloud and dbt Cloud for SaaS Analytics

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

Build an ETL Pipeline with Airbyte Cloud and dbt Core for SaaS Analytics

Ingest Salesforce, Google Analytics, and Facebook Ads in parallel with Airbyte Cloud, then transform with dbt in one orchestrated ELT pipeline.

Build an ETL Pipeline with Parallel Airbyte Syncs and dbt Core Transformations

Run parallel Airbyte syncs, then transform raw data with dbt Core, all in one orchestrated ELT pipeline.

Create a table and load CSV data into MySQL with SQL

Download a remote CSV and bulk-load it into MySQL with a declarative, secret-secured ELT pipeline.

Curate GCS Files into BigQuery with Python

Download a file from Google Cloud Storage, clean it with Python and pandas, and load the curated result into BigQuery on a schedule.

Extract a CSV from HTTP and bulk load it into Oracle

Download a CSV over HTTP, truncate-and-reload an Oracle staging table with named-column JDBC batches, then assert the row count landed.

Extract data from Apache Pinot into a CSV format and load it into BigQuery

Move Apache Pinot query results into BigQuery as a clean, schema-typed CSV load.

Ingest Zendesk data into DuckDB using dlt

Extract Zendesk support tickets into DuckDB with a dlt Python pipeline orchestrated by Kestra.

Ingest Zendesk data into Weaviate using dlt

Load Zendesk support tickets into a Weaviate vector store with dlt, ready for semantic search and RAG.

Load GCS Files into BigQuery on Arrival

Auto-load files into BigQuery the moment they land in a Google Cloud Storage bucket, then archive each object so it never re-triggers.

Load Pipedrive CRM data into BigQuery with a scheduled dlt pipeline

Sync Pipedrive CRM data into BigQuery every hour with a dlt Python pipeline orchestrated by Kestra.

Read a Google Spreadsheet & Load it to BigQuery

Read a Google Spreadsheet and load its rows straight into a BigQuery table with automatic schema detection.

Run a scheduled ELT pipeline in Python: extract Chess.com API data and load it into DuckDB with dltHub

Run a Python ELT pipeline with dlt that extracts Chess.com API data and loads it into DuckDB on a schedule.

Run a Scheduled ETL Sync with Airbyte Cloud

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

Run DDL queries and load data to Postgres

Download a remote CSV, create the target table with DDL, and bulk load it into Postgres on a single Kestra flow.

Run Parallel ETL Ingestion with Airbyte to Sync Multiple Data Sources

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

Sync Hubspot CRM data to BigQuery on a schedule

Sync every HubSpot CRM object into BigQuery on a daily schedule using CloudQuery.

Trigger multiple Fivetran syncs in parallel, then run a dbt Cloud job

Sync multiple Fivetran connectors in parallel, then trigger a dbt Cloud transformation job, all from one Kestra flow.

Trigger multiple Fivetran syncs in parallel, then run a dbt job

Run four Fivetran connector syncs in parallel, then build your dbt Core models on the freshly loaded data.