SUMMARY

EDUCATION PERSONAL PROJECT

SKILLS

CERTIFICATIONS

K3/2 Bien Hoa, Dong Nai

ad4dcq@r.postjobfree.com

084*******

LUU GIA BAO

Data Engineer Intern

Passionate and driven Data Engineering enthusiast seeking an internship opportunity to apply and further develop skills in Python, SQL, Data Warehousing, PySpark, Azure Data Factory, and Power BI. Eager to contribute to meaningful projects while gaining hands-on experience in the field. Jan 2024- Feb 2024

Overview: This project aims to build a dashboard for F1 racing data visualization, providing insights into various aspects of Formula 1 races.

Github: https://github.com/lgbao123/f1

Technologies: Databricks with PySpark, Azure Data Lake, Azure SQL Database, Azure Data Factory, Power BI

Responsibility:

Data Ingestion: Data is fetched from the The Ergast API ( an experimental web service which provides a historical record of motor racing data for non-

commercial purposes ) using Databricks with

pyspark.

Data Storage: Ingested data is stored in Azure Data Lake for further processing.

Data Transformation: Data is transformed as per

requirements using Databricks.

Data Warehousing: Transformed data is stored in

Azure SQL Database for efficient querying.

Dashboard Creation: Power BI is used to create

interactive and insightful dashboards.

Pipeline Orchestration: Azure Data Factory is used for scheduling weekly and monitoring the data

pipeline.

Data Engineer

2019 – Now

GPA : 8/10

Awards

Python

SQL

Spark

Azure (Azure data factory, Azure

synapse, DataLake)

MySQL, SQL Server

Power BI

Solid understanding of Data

Structures and Algorithms

Familiarity with data warehousing

concepts

TOEIC: 765

SQL (Intermediate) HackerRank

Certificate

HCMC University of Technology F1 Racing Dashboard Project and Education

lgbao123

Academic scholarship, 2021

Feb 2024- Mar 2024

Overview: The project utilized data from Our World in Data to track daily cases, deaths, and hospital admissions related to COVID-19 in Europe. Data include 4 csv files : Cases and Deaths, Hospitalizations, Testing, Country.

Github: https://github.com/lgbao123/covid19

Technologies: Azure Data Factory, Azure SQL Database, Azure Data Factory, Power BI Responsibility:

The data flow involves fetching files from the Our World in Data to a data lake storage account using HTTP Connector .

Data processing occurs in Azure Data Factory through the implementation of data pipelines and data flow .

The transformed data is subsequently published to the Azure SQL Database as Data warehouse. The final step entails visualizing the data in Power BI, retrieving it from the SQL Database. COVID-19 Project: Implementing a Data Engineering Pipeline within Azure Data Factory

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