Extract ML service feature pipeline into standalone ETL module

[Smartdevs17]

Context

ML feature pipeline needs extraction into a reusable ETL module.

Current Limitation

Feature pipeline is coupled with ML service.

Expected Outcome

• Standalone ETL module
• Feature store integration
• Pipeline orchestration
• ETL monitoring

Acceptance Criteria

• Standalone ETL module
• Feature store integration
• Pipeline orchestration (Airflow/Prefect)
• ETL monitoring and alerting
• ETL testing framework
• ETL documentation
• ETL performance benchmarks

Technical Scope

• ml-service/main.py - ML service
• ml-service/model_registry.py - Model registry
• ml-service/retrain.py - Retraining pipeline
• backend/ml/ - ML integration layer

[Itodo-S]

@Itodo-S has applied to work on this issue as part of the Stellar Wave Program's 7th wave.

Please let me work on this issue; I can handle it

ℹ️ Repo Maintainers: To accept this application, review their application or assign @Itodo-S to this issue.

[drips-wave]

Congratulations, @Itodo-S! 🎉 Your application was accepted by the repo's maintainers, and the issue is due on July 30, 2026.

🧑‍💻 @Itodo-S: Please resolve the issue such that the repo's maintainers have enough time to review your contribution before the due date. You'll earn Points for completing the issue on-time, which will make you eligible for a share of the Stellar Wave Program's reward pool.

Warning

When opening a PR, please link it to this issue to ensure it gets tracked accurately. Points are awarded when this issue is marked as completed by the maintainer.

🤠 Repo maintainers: Please keep an eye on the contributor's progress and review their work before the due date. You can manage this issue, including adjusting its complexity and points, here.

🌊 Happy Wave 🌊

[Itodo-S]

Fixed in PR #828: #828

[drips-wave]

This issue has been completed by @Itodo-S as part of the Stellar Wave Program's 7th Wave 🥳

😎 @Itodo-S: You earned 200 Points for completing this issue! After the current Wave ends, you'll be eligible for a percentage of the Wave's reward pool based on the percentage of total points you've earned. Learn more here. You can also Leave a review to share your experience working on this issue.

🧑‍💻 Repo maintainers: How'd the contributor do? Leave a review to share your experience working with them.