https://github.com/caogiathinh/caogiathinh

https://github.com/caogiathinh/caogiathinh

airflow database dataengineer dbt dsa linux python spark sql

Last synced: 8 months ago
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• Host: GitHub
• URL: https://github.com/caogiathinh/caogiathinh
• Owner: caogiathinh
• Created: 2025-08-19T02:27:08.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2025-10-07T01:26:22.000Z (8 months ago)
• Last Synced: 2025-10-07T03:26:04.520Z (8 months ago)
• Topics: airflow, database, dataengineer, dbt, dsa, linux, python, spark, sql
• Homepage:
• Size: 45.9 KB
• Stars: 5
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Cao Gia Thịnh

### Data Engineer



  



Welcome to my GitHub profile!

I'm Cao Gia Thinh, a final-year Computer Science student with a deep focus on Data Engineering. I am passionate about designing and building scalable, high-performance data systems that transform raw data into valuable insights to support business decision-making.

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## 📊 GitHub Stats



  

  





  



## 🛠️ Tech Stack & Core Competencies



  

  

  

  

  

  

  

  

  



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## 🚀 Key Projects

These are my flagship projects that showcase my skills and experience.

### 1. [urban-mobility-elt-pipeline](https://github.com/caogiathinh/urban_mobility_elt_pipeline)

*Built a complete data platform on Google Cloud to collect, process, and analyze retail data from various sources.*

- **Orchestration:** Leveraged **Kestra** (deployed on Cloud Composer) to schedule and orchestrate data ingestion pipelines from parquet files.

- **Data Lake & Warehouse:** Stored raw data in **Google Cloud Storage (GCS)**. Subsequently, cleaned, transformed, and loaded the data into **Google BigQuery** using **Apache Spark**.

- **Data Modeling:** Implemented a **Star Schema** within BigQuery to optimize for analytical queries.

- **Deployment:** Containerized the entire application and its dependencies using **Docker** to ensure consistency across environments.

**Technologies:** `GCP (BigQuery, GCS, Composer)`, `Kestra`, `Apache Spark`, `Docker`, `Python`, `SQL`, `dbt`, `Google Data Studio`.

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### 2. [modern-data-warehouse](https://github.com/caogiathinh/modern-data-warehouse)

*Designed and implemented a modern data warehouse to empower Sales and Marketing teams with advanced analytics.*

- **ETL & Transformation:** Using SQL to extract, transform, and load from source to destination data warehouse.

- **Data Warehouse Design:** Architected a DWH schema on **Microsoft SQL Server**. 

**Technologies:** `T-SQL`, `MS SQL SERVER`.

## 📫 Let's Connect!

I'm always open to discussing new opportunities, interesting projects, or anything related to data and technology. Feel free to reach out!



  

    

  

  

    

  

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