Merge Development Branch into Main: Complete Data Engineering Pipeline Implementation #29
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
feat: Write on .log for dates
New/branch with cleaning and transformation data which came from kafka server.
…press. feat: WIP(Work In Progress) partial data load to Supabase (3 of 5 tables) and mongo user setup.
Feature/kafka to supabase aprobado
feat:adding testing to etl_utils.py
Feature/redis
docs: add Grafana README and pipeline overview dashboard.
…imports from etl_utils.
Feature/api This API provides endpoints for retrieving and filtering professional and demographic data from a Supabase-managed database. Built with FastAPI, it supports searching for people by job title and city, and delivers results in a clean JSON format. The API is designed to serve data for web interfaces, making it easy to build interactive data-driven applications.
…ource provisioning. chore: relocate unit test to /tests/unit/.
Feature/prometheus metrics
… 472 permissions - Fixed consumer.py and storage_mongo.py failures due to merge issues. - Added Dockerfile to ensure Grafana uses correct folder ownership (UID 472). - docker-compose updated with build context for Grafana.
Feature/readme
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
This pull request merges the latest changes from the dev branch into main, delivering the full implementation of the data engineering pipeline for HR Pro. It includes robust ETL processes, integration with Kafka, MongoDB, and Supabase (PostgreSQL), comprehensive monitoring with Prometheus and Grafana, improved logging, unit tests, and Dockerized deployment.
All project objectives and delivery requirements have been met, ensuring a scalable, maintainable, and production-ready data platform.