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Data Engineer Information Technology

Location:
Ho Chi Minh City, Vietnam
Posted:
March 10, 2025

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Resume:

LUONG HONG PHUC

Junior Data Engineer

SUMARRY

EXPERIENCE

FPT Software Sep 2022 – Mar 2024

Data Engineer

Project:

CONTACT

• ********@*****.***

+84-377******

• Quy Nhon, Binh Dinh

EDUCATION

B.A. Information Technology

FPT University

GPA: 3.0/4.0

English level: B2 - C1

Achievement:

• Honorable student of

semester Spring 2021

• Top 50 Excellent student

of semester Spring 2022

SKILLS

Programming: Python, SQL

Others: Docker, K8s, Git,

Bash

Data storage: SQL Server,

Postgres

Data tool: MapReduce,

Spark, Kafka, ELK stack,

Airflow, BigQuery.

Data skills: DWH, ETL, Data

Modeling and Designing

Soft skills: Problem-solving,

Team work, Knowledge

Agile/Waterfall

Certification

Data engineering with Azure,

AWS;

Data streaming with Kafka

Udacity

An enthusiastic data Engineer with 1+ years of hands-on experience in creating scalable data pipelines, fine-tuning ETL/ELT workflows, and implementing event-driven

architectures with Kafka. Facilities in Elasticsearch index design, Docker containerization, and automated data orchestration. Keen to seek out, create, and develop through quality data solutions that allow innovation to happen. Podcast Recommendation System

• Developed and optimized Elasticsearch indexing strategies to improve search performance latency by 30%.

• Engineered full-text search solutions by designing index architectures, configuring mappings, and creating custom text analyzers.

• Prepare Kibana to develop dashboards and visualizations for Data Analysis.

Supplier Fraud and Product Detection System

• Implemented producers/consumers, configured topics & partitions, and integrated Kafka for event-driven data flow.

• Designed robust RESTful APIs for seamless application integration.

• Containerized machine learning models using Docker to ensure consistent and streamlined deployments.

Optimize Data Transformation

• Investigated the existing data transformation workflows and identified the areas of delay and poor efficiency in SQL query and data processing tasks.

• Built and orchestrated ETL pipelines to automate data ingestion and transformations, leveraging Cloud Composer to streamline operations and reduce overall processing time.



Contact this candidate