Engineer Intern Data Developer

PHẠM VĂN HÙNG

Genre : Male Date of birth : **/**/2000

DATA ENGINEER INTERN

CAREER OBJECTIVES

In the first year, I will be an

active member in a

professional workplace as a

senior Data developer.

I want to be an important

part of my team and

achieve “The best

employee” award of your

company in 2 years next.

I'll be working as an "All-

round" Data Developer and

become a leader in 5 years

next.

CONTACT

PHONE:

081*******

EMAIL:

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

EDUCATION

2018 – Present: HCMC University of Technology and

Education

Major: Data Engineer

GPA: 7.2/10

Graduation year: 2022

PROGRAMMING SKILLS

Object-oriented programming: C#, Java,

JavaScript.

Functional Programming: Python, R.

Relational Database Management System: Microsoft SQL Server.

Data Warehouse, Data Lakehouse.

Hadoop.

English.

WORKING EXPERIENCE

DBMS: Selling Game Website

Role: Database.

Functions: Select Orders, Place Orders, View Orders Quantity, Add Orders.

Usage: SQL Server.

Experience: Building and Connect to Database, Using Trigger, Function, View, Transaction…

BIGDATA: Build The BigData System

Role: Full stack.

Function: Save DATA on HDFS, Using Hive to efficiently store and process datasets.

Usage: Hadoop 2.7.7, Java 1.8, Spark 3.0.2.

Experience: HDFS, MapReduce, Hive.

Object-oriented programming: Caro

Game Building two players

Role: Full stack.

Usage: Visual Studio Code C#.

Function:. UI Design, Create a function to change players, Handling wins and losses, countdown time, Create Menus and Hotkeys, Undo.

Experience: Basic Control, Delegate, Event, Collection, Constants, Anonymous method, Multi thread.

Machine leaning: Predicting

Corporate Bankruptcy

Role: Full stack.

Usage: R

Function:. Data preprocessing, Model creation, Prediction, Assessment.

Experience: Principal Component Analysis (PCA), Use Logistic Regression, Neural Network, K-nearest neighbors algorithm. Data Warehouse: Developing a model of Covid 19 data warehouse in Korea

Role: Analysis of searches for the name of each disease by year and month.

Usage: SQL Server.

Function: Create DWH to analyze search trends, Set up calculated Views to load data into Factors, Deploying DWH to BIDS, Exploit using DWH using SQL fingerprints.

Experience: SQL queries, DWH analysis on BIDS.

Data LakeHouse: Build Data Lakehouse for Search Engine System

Role: Full Stack.

Usage: . Amazon EC2, Hadoop, Superset, MySQL

Function: Data Lakehouse stores data in the form of documents, images, videos, ..., Business Intelligence, Machine Learning. Experience: Hadoop HDFS, SQL queries, use BI for MetaData.

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