---
title: "Airbyte | Skills We Assign For | Azendo"
description: "Airbyte for data ingestion — connector coverage, incremental sync, and the Azendo roles assigned for it."
url: "https://azendo.co/skills/airbyte/"
---

[Skills](https://azendo.co/skills/) Data pipelines 

# Airbyte.

Airbyte is an open-source data integration platform with connectors for hundreds of sources and destinations. It handles extraction and loading, leaving transformation to the warehouse, and supports custom connectors for sources it does not cover.

## Where Airbyte fits on a long engagement.

Extraction is unglamorous work that every data team rebuilds badly. Pagination, rate limits, authentication refresh, schema drift and incremental state are the same problems for every API, and a maintained connector solves them once. Writing them in-house is a standing maintenance obligation for no differentiation.

Connector quality varies substantially, which is the caveat that matters. Popular sources are well maintained; long-tail connectors may be community-contributed and lightly tested. Verifying a connector against your actual data volumes before depending on it is a short exercise that avoids a long problem.

## What an assigned team does with Airbyte.

Schema drift is the recurring operational event. A source adds a column, changes a type, or renames a field, and a pipeline either fails or silently drops data. The second is considerably worse, because nobody notices until a number is wrong.

Handling that deliberately — detection, alerting and a defined response — is part of what assigned data capacity is responsible for under [managed data services](https://azendo.co/services/data-engineering/).

## What we use Airbyte for.

* Ingestion that is not built in-house Maintained connectors handling pagination, auth and rate limits for every source.
* Incremental sync rather than full reload State tracked per source, so daily loads move what changed rather than everything.
* Schema drift detected, not absorbed Alerting when a source changes shape, so data is never silently dropped.

## How Airbyte capacity is assigned.

Ingestion capacity is assigned inside data engineering, with connector reliability verified against your volumes before anything depends on it.

## Roles we assign Airbyte for

* [ETL Developer Data engineering](https://azendo.co/services/data-engineering/etl-developer/)

## Service lines it sits in

* [Data engineering](https://azendo.co/services/data-engineering/)

Capacity is agreed as a committed monthly capacity across a discipline, not per skill.

## Related in data pipelines

* [Airflow — skill we assign for](https://azendo.co/skills/airflow/)
* [dbt — skill we assign for](https://azendo.co/skills/dbt/)
* [Fivetran — skill we assign for](https://azendo.co/skills/fivetran/)
* [Databricks — skill we assign for](https://azendo.co/skills/databricks/)
* [Spark — skill we assign for](https://azendo.co/skills/spark/)
* [Flink — skill we assign for](https://azendo.co/skills/flink/)
* [Dagster — skill we assign for](https://azendo.co/skills/dagster/)
* [Prefect — skill we assign for](https://azendo.co/skills/prefect/)

## Tell us what your roadmap needs Airbyte for.

A service delivery manager replies with the disciplines we would assign, the monthly capacity and what the first month looks like.

[All skills we assign for](https://azendo.co/skills/)