SUMMARY
As a passionate student aspiring to become a Data Engineer, I am eager to apply my knowledge of Python, SQL, and data pipelines to real-world systems. I have developed practical experience through academic projects involving ETL workflows, cloud platforms, and data visualization tools. I am seeking an internship opportunity to strengthen my technical skills, learn from experienced engineers, and contribute to meaningful data-driven solutions.
EDUCATION
SKILLS
Programming: Python (Pandas, NumPy), SQL, JavaScript (basic) Data Engineering Concepts: Understanding of OOP, ETL process, and RESTful API design Big Data & Cloud: Familiar with Hadoop, Spark (Databricks Community), Google Cloud Platform (GCP) Database & Data Modeling: PostgreSQL, basic knowledge of Data Warehousing Tools: Git, GitHub Actions, Docker (basic), Postman Soft Skills: Teamwork, problem-solving, willingness to learn PROJECTS
Majors: Data science GPA: 3.6/4
Industrial University of Ho Chi Minh City (IUH) Sep 2022 - Present Stock Data Pipeline using GCP
Status: done Team size: 1
Tech stack: Google Cloud (Cloud Function, Cloud Storage, BigQuery, Looker), GitHub Actions Description: Built an end-to-end data pipeline to collect, transform, and visualize stock and financial news data.
Responsibilities:
Built a simple end-to-end ETL pipeline for stock and financial news data on Google Cloud. Used Cloud Functions for data extraction and transformation. Stored and analyzed data in BigQuery, then visualized results with Looker Studio. Automated the workflow with GitHub Actions and Cloud Scheduler, demonstrating familiarity with CI/CD and cloud orchestration.
Mar 2025 - Apr 2025
Github: https://github.com/LongTeaa/stock-data-pipeline-gcp LANGUAGES (ENGLISH)
Able to read and understand technical documentation Basic communication skills
ACHIEVEMENTS
Academic Encouragement Scholarship
(5 consecutive semesters)
TRUONG LONG TY
DATA ENGINEERING INTERNSHIP
Ho Chi Minh City, Vietnam ***********@*****.*** 036******* GitHub LinkedIn Relevant Coursework: Data Structures & Algorithms, Database Systems, Application Development (RESTful), Data Engineering, Big Data (Hadoop & Spark), Data Analysis, Machine Learning, Cloud Computing. Pharmacy Management System Mar 2025 - May 2025
Status: done Team size: 4
Tech stack: Django, ReactJS, PostgreSQL
Description: Developed a pharmacy management system supporting role-based access Responsibilities:
Developed backend APIs using Django REST Framework to manage medicines, orders, and user roles. Collaborated with teammates to integrate data between frontend and backend systems. Integrated Gemini API to implement a chatbot that answers basic pharmacy-related questions. Github: https://github.com/LongTeaa/pharmacy-management