Is it impossible to contribute to open source as a data engineer?

This page summarizes the projects mentioned and recommended in the original post on /r/opensource
Python Workflow engine Data Airflow Pipeline

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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  • Airflow

    Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

    • You can try and contribute some new connectors/operators for workflow managers like Airflow or Airbyte

  • airbyte

    The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.

    • You can try and contribute some new connectors/operators for workflow managers like Airflow or Airbyte

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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