Data Engineering & BI Intern

TRINH VAN NGUYEN

Data Engineering Intern

Phone: +84-862-***-*** Email: *******************@*****.*** GitHub: github.com/trinhnguyen1101 Location: Ho Chi Minh City, Vietnam SUMMARY

Data Engineering student with hands-on experience building Python and SQL ETL pipelines, PostgreSQL data workflows, containerized services, and Power BI dashboards. Experienced in data ingestion, cleaning, transformation, storage, and visualization. Seeking a Data Engineering or Business Intelligence Internship to contribute to reliable data pipelines and analytics solutions.

EDUCATION

Ho Chi Minh City University of Technology and Education (HCMUTE) 2023 – Now Bachelor of Engineering in Data Engineering

TECHNICAL SKILLS

Programming: Python, SQL

Databases: PostgreSQL, MySQL

Data Engineering: ETL/ELT, Data Ingestion, Data Cleaning, Data Transformation, Medallion Architecture, Data Pipeline Development

Data Analysis & Visualization: Power BI, pandas, NumPy, PCA, t-SNE, UMAP Tools & Platforms: Docker, Docker Compose, Git, GitHub, Linux CLI, OpenCV, MediaPipe PROJECTS

End-to-End Medallion Data Pipeline GitHub

Python, SQL, PostgreSQL, Docker, ETL, Power BI

• Designed and implemented an end-to-end data pipeline for ingestion, storage, transformation, and visualization.

• Built automated ETL workflows to collect data from multiple sources and process it through Bronze, Silver, and Gold layers.

• Applied data cleaning, type conversion, transformation, and feature engineering using Python and SQL.

• Developed Power BI dashboards to visualize business metrics and key performance indicators.

• Containerized pipeline services with Docker to improve reproducibility and simplify deployment. Cross-Lingual Sign Language Feature Analysis GitHub Python, OpenCV, MediaPipe, NumPy, DTW, PCA, t-SNE, UMAP

• Collaborated in a 10-member team to develop a cross-lingual sign language analysis pipeline.

• Built an automated preprocessing workflow for extracting video frames and skeletal keypoints.

• Applied Dynamic Time Warping to compare gesture sequences across Vietnamese and American Sign Language datasets.

• Used PCA, t-SNE, and UMAP to visualize high-dimensional features and analyze language-specific gesture distributions.

• Contributed to experimental analysis, result interpretation, and technical documentation. CERTIFICATIONS, COURSES

• AWS Academy Data Engineering

• AWS Academy Machine Learning for Natural Language Processing

• IELTS Academic – Overall Band 6.0

Contact this candidate