Description
Is your feature request related to a problem? Please describe.
I'm often frustrated when I need to ingest CSV data into platforms like Google Cloud BigQuery or Elasticsearch, as these tools require NDJSON format. Currently, there’s no simple built-in tool in the project to handle this conversion, which adds friction to data processing workflows.
Describe the solution you'd like
I’d like to add a standalone Python script, csv_to_ndjson.py, that reads a CSV file from the same folder and outputs a corresponding NDJSON file. This script should be easy to run and include basic error handling. A README.md should also be included to explain how to use the script and why NDJSON is beneficial.
In addition, the main README.md should be updated to include a link to this script's folder for visibility.
Describe alternatives you've considered
I've considered using third-party CLI tools or online converters, but they either require extra dependencies, have limitations, or are not reliable for sensitive data. Writing a simple Python script provides a clean, reusable, and transparent solution that fits naturally in the project.
Additional context
NDJSON (Newline Delimited JSON) is widely used for streaming data and is compatible with many modern data ingestion tools. Including this script in the repo will streamline common data preparation tasks for developers and data engineers.