ELI-545 | refresh tableau data programmatically

[Karthikeyannhs]

Description

Context

Type of changes

• Refactoring (non-breaking change)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would change existing functionality)
• Bug fix (non-breaking change which fixes an issue)

Checklist

• I am familiar with the contributing guidelines
• I have followed the code style of the project
• I have added tests to cover my changes
• I have updated the documentation accordingly
• This PR is a result of pair or mob programming

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Sensitive Information Declaration

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• I confirm that neither PII/PID nor sensitive data are included in this PR and the codebase changes.

[Copilot]

Pull request overview

Adds an automated path for refreshing Tableau DQ metrics by generating a .hyper extract from S3 JSON partitions and publishing/refreshing a Tableau datasource on a schedule.

Changes:

• Add a GitHub Actions scheduled workflow to run the end-to-end S3 → Hyper → Tableau publish/refresh process.
• Add a script to read recent partitioned JSON from S3 and generate a Tableau Hyper extract.
• Add a script to publish/overwrite a Tableau datasource and trigger a cache refresh via a view ping.

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated 9 comments.

File	Description
scripts/tableau/tableau_refresh.py	Publishes an updated .hyper to Tableau Server and attempts to trigger a view refresh.
scripts/tableau/generate_tableau_data.py	Pulls recent JSON from S3 and builds converted.hyper via tableauhyperapi.
.github/workflows/dev-tableau-update.yml	Schedules and wires the scripts into a daily DEV automation workflow.