Data Engineer Intern

C O N T A C T

S K I L L

Bac Tu Liem, Ha Noi

**************@*****.***

facebook.com/dovancuong36

Language programming: Python,

C#, SQL

Database: PostgreSQL, MongoDB,

SQL Server

078*******

AI: Machine learning, Deep

learning, Scikit-learn, Torch

D A T A E N G I N E E R I N T E R N

DO VAN CUONG

Framework: FastAPI

Library: Numpy, Pandas,

Matplotlib, Selenium,

BeautifulSoup, Requests

Cloud: AWS S3, AWS EMR

Big Data & Analytics: Kafka,

Spark, Hadoop, Elasticsearch

ETL Tools: SQL Server

Integration Services (SSIS)

DevOps Tools: Docker, Git,

Linux

IDE: Postman, VS Code,

MongoDB Compass, Data

Grip, Pycharm, Rider

S U M M A R Y

E D U C A T I O N

HANOI UNIVERSITY OF INDUSTRY

Bachelor of degree: Information Technology GPA:3.02/4.0 P R O J E C T S

End To End Pipeline Platform

Role: Data Engineer

Link: https://github.com/dovancuong12/End_To_End_Pipeline Technologies: Apache Airflow, Apache Kafka, Apache Spark (Batch & Streaming), MinIO (S3), PostgreSQL, Docker Compose, Great Expectations, Grafana + Prometheus, Python

Description: A containerized end-to-end data pipeline supporting batch + streaming processing, data quality checks, and monitoring. NewsSentinel

Link: https://github.com/dovancuong12/NewsSentinel Technologies: FastAPI, Docker, Apache Kafka, Elasticsearch, AWS S3, MongoDB

Description: Built a real-time pipeline to collect news via RSS, stream through Kafka, store in MongoDB/S3, enable Elasticsearch search, and classify negative content.

github.com/dovancuong12

11/2025-present

6/2025-9/2025

Recognized as an Excellent Student for two consecutive semesters

(5&6)

Sales Analytics DWH

Link: https://github.com/dovancuong12/sales-analytics-dwh Technologies: SQL Server, Power BI, SSIS, SQL Server Data Warehouse Description: Designed an end-to-end ETL pipeline (SSIS) to extract AdventureWorks data, transform and load into a star-schema DWH, enabling Power BI reporting.

5/2025-6/2025

Objective Gain hands-on experience in data systems to build a strong foundation for a long-term data engineering career. Strengths Fast learner, strong problem-solving, adaptable, and persistent.

Weaknesses Occasionally hesitant in decision-making; improving confidence in high-pressure situations.

W O R K E X P E R I E N C E

OASM-Platform(Remote) 3/2025-present

Data Engineer

Built a RAG system integrating PostgreSQL + pgvector for multi- source semantic search.

Designed the ETL Embedding Indexing Retrieval pipeline Optimized performance with HNSW Index, Redis cache, and Docker Compose deployment.

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