Hoang Hong Ha

With several years of experience in developing e-commerce websites using PHP and Magento, I discovered the immense potential of the data generated from these platforms. Realizing the importance of data exploitation, I transitioned my career to focus on data engineering. My journey in this field was driven by the desire to be able to collect and store that amount of data for businesses so that they can unlock the value of data and help businesses develop based on those values. I am dedicated to expanding my knowledge and skills in data engineering, aiming to develop myself further and make impactful contributions in this dynamic field.

Engineer in Information Systems, Hanoi University of Science and Technology
Oct 2015 — Oct 2020

Data Scientist Masters, Hanoi University of Science and Technology
Oct 2021 — Oct 2023

Retail Pipeline [GitHub link]

Build a robust data pipeline: store raw files in the cloud, extract data into a relational database following a star schema, and create reporting charts with Metabase. Explore tools like Astro, Airflow, SODA, Dbt, and GCP for hands-on experience.

• Use Airflow to ingest raw retail data into Google Cloud Storage and load it into BigQuery in a tabular format.
• Utilized Dbt to transform raw table data into a star schema format and generate report-ready datasets.
• Utilized SODA to perform data quality checks post-data transfer from files to tables, transform raw data, and prepare datasets for reports.
• Create dashboard reports using Metabase.

Smart City [GitHub link]

Development of an end-to-end real-time data streaming pipeline for a Smart City project, encompassing data ingestion, processing, and storage. Leveraged tools such as Kafka, Spark, Docker, Python, AWS.

• Simulated IoT devices, including vehicle information, GPS, weather, cameras, and emergency situation data using Python.
• Utilized Apache Spark to listen to Kafka events and stream data into an S3 bucket.
• Employed AWS Glue to extract information from raw storage.
• Queried and visualized data using Amazon Athena and Redshift.
• Configured IAM roles to grant permissions for accessing S3 and Glue services.

Shopee Data Analysis [GitHub link]

Aimed to collect and analyze product data to uncover price distribution, quantity sold distribution, and product ratings.

• Crawled data from Shopee for specific categories using Python.
• Conducted Exploratory Data Analysis (EDA) and generated visualizations.
• Applied machine learning models, including Linear Regression, Decision Tree, and XGBoost, to make predictions and compared model results.

Magento Developer, Magenest JSC

Mar 2018 - May 2020

• Developed and enhanced features for existing extensions.
• Contributed to the development of websites for domestic and international clients, customizing functions per customer requirements.
• Worked with APIs, created data migration modules, and maintained various modules.

Magento Developer, Shopstack Vietnam Co., Ltd

Dec 2020 — Oct 2021

• Developed e-commerce website projects for Thai clients.
• Created and modified modules based on customer requirements.
• Utilized AWS and developed projects using RESTful APIs and GraphQL for front-end communication and third-party integration.

Magento Developer, Freelance

Oct 2021 — present

• Developed and maintained websites based on customer requirements, integrating with front-end using APIs.

Microsoft Certified: Azure Data Fundamentals [link]

Microsoft Certified: Azure AI Fundamentals [link]

Giap Van Quyet from Magenest JSC - quyetgv@magenest.com

Tran Thi Tuyet from Shopstack Vietnam Co., Ltd - tuyet@shopstack.asia