I'm a Software Engineering student in the High-Quality Program (K48) at Can Tho University, with a current GPA of 3.68.
My main interests are Data Analytics and Data Engineering. I enjoy building ETL pipelines, streaming systems, lakehouse platforms, BI dashboards, and data-driven applications. I also build React Native mobile/admin applications in private projects.
- Data Analytics and BI reporting
- Data Engineering pipelines and orchestration
- Customer 360 and lakehouse architecture
- Backend and data-driven application development
- React Native mobile application development
- CI/CD and deployment automation
Languages: Python, SQL, JavaScript
Mobile / Frontend: React Native, React, HTML, CSS, mobile/admin interfaces
Data Processing: PySpark, Spark SQL, Spark Structured Streaming, Pandas
Data Engineering: Apache Airflow, Apache Kafka, Apache Cassandra, MySQL, PostgreSQL, Oracle XE, MongoDB
Lakehouse & Analytics: Apache Iceberg, MinIO, Trino, Power BI, Apache Superset
CI/CD: GitHub Actions, CI/CD pipelines, Docker, Docker Compose
Tools: Jupyter Notebook, Git, GitHub
AI / Computer Vision: OpenAI API, OpenCV
- Customer 360 Behavioral Analytics - PySpark ETL for telecom behavioral/search logs, OpenAI keyword classification, MySQL, and Power BI dashboard.
- Recruitment Data Platform - Lambda-style real-time and batch ETL with Kafka, Spark Streaming, Cassandra, Airflow, and MySQL.
- Retail Banking Customer 360 Lakehouse - End-to-end lakehouse platform using Spark, Iceberg, MinIO, Trino, Airflow, PostgreSQL, Oracle XE, and Superset.
- Fashion Admin / Mobile App - private React Native project focused on fashion management and mobile/admin workflows.
- Rubik Solver - Python Rubik's Cube solver using OpenCV for color detection and Kociemba's algorithm.
- Strengthen SQL, Python, and PySpark for analytics and data engineering.
- Build reliable ETL/ELT pipelines with clear data quality checks.
- Improve dashboarding and business-facing data products.