{"id":28382939,"url":"https://github.com/weskal/vexus_pipeline","last_synced_at":"2026-01-20T16:27:13.617Z","repository":{"id":296308988,"uuid":"991671103","full_name":"Weskal/vexus_pipeline","owner":"Weskal","description":"Automated pipeline for generating, ingesting, and validating realistic data, designed to simulate real-world workflows with scheduling, data quality checks, and version control.","archived":false,"fork":false,"pushed_at":"2025-05-30T00:36:10.000Z","size":7,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"dev","last_synced_at":"2025-06-06T05:26:30.084Z","etag":null,"topics":["airflow","data","pipeline","python","sqlserver","workflow"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Weskal.png","metadata":{"files":{"readme":"readme.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-05-28T01:38:17.000Z","updated_at":"2025-05-30T00:57:06.000Z","dependencies_parsed_at":"2025-05-30T01:31:32.305Z","dependency_job_id":null,"html_url":"https://github.com/Weskal/vexus_pipeline","commit_stats":null,"previous_names":["weskal/vexus_pipeline"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Weskal/vexus_pipeline","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Weskal%2Fvexus_pipeline","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Weskal%2Fvexus_pipeline/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Weskal%2Fvexus_pipeline/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Weskal%2Fvexus_pipeline/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Weskal","download_url":"https://codeload.github.com/Weskal/vexus_pipeline/tar.gz/refs/heads/dev","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Weskal%2Fvexus_pipeline/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261827029,"owners_count":23215682,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["airflow","data","pipeline","python","sqlserver","workflow"],"created_at":"2025-05-30T05:09:16.626Z","updated_at":"2026-01-20T16:27:13.566Z","avatar_url":"https://github.com/Weskal.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Vexus Data Pipeline\nAutomated Data Pipeline with Airflow, Python, and SQL Server\n\n\n## Description\n\nThis project implements an automated pipeline for generating, ingesting, and storing simulated sales order data for a fictitious clothing store called Vexus. It uses Python to create the data and send it to the database, Apache Airflow for orchestration, and SQL Server for storage and querying.\n\n## Features\n\n- Daily generation of simulated data based on real products from the SQL Server database.\n- Storage of data in CSV files organized by date.\n- Automatic ingestion of CSV files into the SQL Server database.\n- Data validation to avoid duplication and ensure integrity.\n- Pipeline orchestrated and scheduled via Apache Airflow.\n\n## Technologies Used\n\n- Python\n- Apache Airflow\n- SQL Server\n- pandas\n- pyodbc\n\n## Project Structure\n- scripts\n  - `__init__.py`\n  - `db_utils.py`\n  - `fake_data_generator.py`\n  - `ingestion.py`\n  - .env\n- airflow\n- raw_data\n- .gitignore\n- readme.md\n- requirements.txt\n\n## How to Run\n\n### 1. Create and configure the `.env` file with your database credentials:\n\n```env\nDB_SERVER=your_server\nDB_DATABASE=your_database\nDB_USER=your_user\nDB_PASSWORD=your_password \n```\n\n### 2. Inside your project folder, create and activate a Python virtual environment:\n```bash\npython -m venv venv\nsource venv/bin/activate       # Linux/Mac\n.\\venv\\Scripts\\activate        # Windows\n```\n\n### 3. Install dependencies:\n```bash\npip install -r requirements.txt\n```\n### 4. Inside the virtual environment, run Airflow:\n```bash\nairflow standalone\n```\n\n## 🚀 Next Steps\n🔁 Integration with Jenkins for automated deployment (CI/CD)\n\n✅ Ensure idempotency in executions\n\n🔍 Implement data quality and consistency checks\n\n📈 Monitoring and alerting for pipeline failures\n\n--------------------\n\n## 📢 Contribution\nFeel free to open issues or submit PRs with improvements, ideas, or fixes.\n\n## 🧑‍💻 Author\nDeveloped by __Gabriel Paliato__\n\n# 📲 Connect with me on LinkedIn\nI am always open to exchanging experiences, sharing knowledge, and exploring new opportunities in Data Engineering, Infrastructure, and DevOps.\n\nLet's connect!\nhttps://www.linkedin.com/in/gabriel-paliato-49467b211/\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fweskal%2Fvexus_pipeline","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fweskal%2Fvexus_pipeline","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fweskal%2Fvexus_pipeline/lists"}