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data-immo\n\n**data-immo** is a high-performance ETL pipeline built in **Rust** to efficiently extract, transform, and load real estate transaction data from the **DVF+ API** into a **Lakehouse (Dremio)**.  \n\nThe project is designed with a focus on **performance, reliability, and scalability**, leveraging modern data engineering tools and practices.\n\n## 🔍​ Schema of the pipeline\n\n```mermaid\nflowchart LR\n    A[API DVF+] --\u003e|Extraction| B[Rust]\n    B --\u003e|Transformation| C[Rust]\n    C --\u003e|Loading| D[(DuckDB)]\n    D --\u003e|Saving cleaned data| E{dbt}\n    E --\u003e|Validation\u003cbr\u003e\u0026 loading| F[(Dremio)]\n\n    subgraph Extraction [Extract]\n        A\n    end\n    \n    subgraph TransformationRust [Transform]\n        B\n        C\n    end\n\n    subgraph LT [Load \u0026 Transform]\n        D\n    end\n\n    subgraph VD [Validate Data quality]\n        E\n    end\n    \n    subgraph LakeHouse [LakeHouse]\n        F\n    end\n\n    subgraph Docker [Docker Container]\n        LakeHouse\n    end\n    \n    style A fill:#000091,stroke:#ffffff,color:#ffffff,stroke-width:1px\n    style B fill:#955a34,stroke:#000000,color:#000000,stroke-width:1px\n    style C fill:#955a34,stroke:#000000,color:#000000,stroke-width:1px\n    style D fill:#fef242,stroke:#000000,color:#000000,stroke-width:1px\n    style E fill:#fc7053,stroke:#000000,color:#000000,stroke-width:1px\n    style F fill:#31d3db,stroke:#ffffff,color:#ffffff,stroke-width:1px\n    style Docker fill: #099cec\n```\n\n## 🚀 Features  \n\n- **Data Extraction**  \n  - Fetches real estate transaction data from the **DVF+ API**.  \n  - Handles API rate limiting, retries, and efficient pagination using Rust’s concurrency model.\n\n- **Data Transformation**  \n  - Uses **DuckDB** to transform optimized **Parquet** data into structured, queryable formats.  \n  - Rust is used for additional transformations, data enrichment, and performance-critical operations (I/O, etc.).  \n\n- **Data Validation \u0026 Loading**  \n  - **dbt** is used to validate, test, and model the data.  \n  - The cleaned and validated data is loaded into **Dremio**, enabling a Lakehouse architecture.  \n\n## 🛠️ Tech Stack  \n\n- **Rust** → Core language for API calls, transformations, and performance optimization.  \n- **DuckDB** → In-process SQL engine for fast transformations of optimized Parquet datasets.  \n- **dbt** → Data modeling, testing, and validation layer.  \n- **Dremio** → Lakehouse platform for analytics and querying.  \n\n## 📂 Pipeline Overview  \n\n1. **Extract**: Retrieve raw transaction data from DVF+ API.  \n2. **Stage**: Store raw data as Parquet.  \n3. **Transform**: Apply transformations using DuckDB and Rust.  \n4. **Validate \u0026 Model**: Use dbt to ensure data quality and prepare final schemas.  \n5. **Load**: Push validated datasets into Dremio for downstream analytics.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flugolbis%2Fdata-immo","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flugolbis%2Fdata-immo","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flugolbis%2Fdata-immo/lists"}