DOC: Add kedro-airflow-k8s plugin to list of Community Developed Plug…

…ins (kedro-org#1005)

Signed-off-by: Laurens Vijnck <laurens_vijnck@mckinsey.com>

docs/source/07_extend_kedro/04_plugins.md

@@ -179,3 +179,4 @@ See the full list of plugins using the GitHub tag [kedro-plugin](https://github.
 - [kedro-mlflow](https://github.com/Galileo-Galilei/kedro-mlflow), by [Yolan Honoré-Rougé](https://github.com/galileo-galilei), and [Takieddine Kadiri](https://github.com/takikadiri) facilitates [Mlflow](https://www.mlflow.org/) integration inside Kedro projects while enforcing [Kedro's principles](https://kedro.readthedocs.io/en/stable/12_faq/01_faq.html#what-are-the-primary-advantages-of-kedro). Its main features are modular configuration, automatic parameters tracking, datasets versioning, Kedro pipelines packaging and serving and automatic synchronization between training and inference pipelines for high reproducibility of machine learning experiments and ease of deployment. A tutorial is provided in the [kedro-mlflow-tutorial repo](https://github.com/Galileo-Galilei/kedro-mlflow-tutorial). You can find more information in [the documentation](https://kedro-mlflow.readthedocs.io/en/stable/).
 - [kedro-neptune](https://github.com/neptune-ai/kedro-neptune), by [Jakub Czakon](https://github.com/jakubczakon) and [Rafał Jankowski](https://github.com/Raalsky), lets you have all the benefits of a nicely organized Kedro pipeline with Neptune: a powerful user interface built for ML metadata management. You can find more information in [the documentation](https://docs.neptune.ai/integrations-and-supported-tools/automation-pipelines/kedro).
 - [kedro-dolt](https://www.dolthub.com/blog/2021-06-16-kedro-dolt-plugin/), [Max Hoffman](https://github.com/max-hoffman) and [Oscar Batori](https://github.com/oscarbatori), a plugin that allows you to expand the data versioning abilities of data scientists and engineers.
+- [kedro-airflow-k8s](https://github.com/getindata/kedro-airflow-k8s), [GetInData](https://github.com/getindata), a plugin that enable running a Kedro pipeline with Airflow on Kubernetes Cluster.