LE XUAN HOANG

INTERN DATA ANALYST

In Management, I am a 4th-year student majoring in

Information Systems with a passion for data processing and analysis. I am looking for an internship opportunity as an intern Data Analyst to apply knowledge and develop skills. I have the ability to integrate into a work group well. I hope to contribute actively in the role of Data Analyst. S U M M A R Y

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

Intern Data Engineer 6/2023 - 8/2023

Learn about technologies and tools like Databricks, Apache Spark, and Amazon Web Services (AWS).

Build a basic data processing pipeline using S3,

Lambda, AWS Glue, QuickSight services.

TMA Solutions Binh Dinh

C A R E E R O B J E C T I V E

+84-34-816-****

ad2t4d@r.postjobfree.com

107 Ngu Hanh Son, Da Nang

C O N T A C T

E D U C A T I O N

Da Nang University of Economics

2020 - present

P R O J E C T S

Build serverless data processing pipelines with

Amazon Web Services

S K I L L S

PowerBI

Python

SQL

ETL

AWS

SSIS

L A N G U A G E

English Intermediate

My goal is to become a Data Analysis and apply my

knowledge and skills to support organizations in

understanding and leveraging data. I aim to contribute to data analysis projects, uncover valuable insights, and propose solutions for business improvement. Additionally, I seek to develop teamwork, communication, and

proficiency in utilizing data analysis tools such as SQL, Python, and PowerBI.

Build a system that automates data processing, from storing data on S3, triggering processing functions through Lambda, using AWS Glue to extract and

transform data, and finally consuming QuickSight for data visualization.

Data Processing and Income Analysis Project

This project utilizes SSIS to perform the ETL (Extract, Transform, Load) process on source data from CSV files. It carries out necessary transformations and conversions, and then loads the data into a star schema within

Microsoft SQL Server.

Once the data is stored in Microsoft SQL Server, Power BI is used to connect to the star schema and perform

visualizations and in-depth data analysis.

Contact this candidate