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Upload [raw CSV of sales data](https://excelbianalytics.com/wp/downloads-18-sample-csv-files-data-sets-for-testing-sales/) to Azure Blob Storage\n2. Use Azure Data Factory to:\n   - Extract the data\n   - Apply basic cleaning/transformation\n   - Load into Snowflake tables\n3. Query Snowflake with Python\n4. Visualize data in a Streamlit dashboard\n\n---\n\n## 📐 Schema\n\n**normalized**\n[![ERD schema](db_schema/ERD.png)](https://liambx.com/erd/p/github.com/malbiruk/salesflow-data-pipeline/blob/main/db_schema/normalized_schema.sql?showMode=ALL_FIELDS)\n\n---\n\n## 📊 Streamlit Dashboard Features (Planned)\n\n**Filters:**\n- Date range\n- State\n- Product Category\n\n**Charts:**\n- 📈 Revenue trend over time (line chart)\n- 🧑‍🤝‍🧑 Top 5 customers by spend (bar chart)\n- 🌍 Revenue by state (choropleth map)\n\n**Metrics:**\n- Total revenue\n- Orders count\n- Avg. order value\n\n---\n\n## 🚧 Status\n\n- [x] Repo initialized\n- [x] Sample data upload\n- [x] Snowflake schema\n- [x] ADF pipeline setup\n- [ ] dbt transformations\n- [ ] Dashboard MVP\n\n---\n\n## ✨ Why I’m Building This\n\nI’m transitioning from a bioinformatics background into cloud data engineering. This project helps me deepen my skills in data pipelines and cloud analytics — while showcasing tools used in production-level DE workflows.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmalbiruk%2Fsalesflow-data-pipeline","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmalbiruk%2Fsalesflow-data-pipeline","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmalbiruk%2Fsalesflow-data-pipeline/lists"}