Chuong Nguyen
Development
Ho Chi Minh, Vietnam
Skills
Data Engineering
About
Chuong Nguyen's skills align with System Developers and Analysts (Information and Communication Technology). Chuong also has skills associated with Database Specialists (Information and Communication Technology). Chuong Nguyen has 7 years of work experience, with 2 years of management experience, including a low-level position.
View more
Work Experience
Senior Data engineer
Central Group
October 2022 - Present
- Projects: We built a customer data platform on Google Cloud. I wrote CI/CD and terraform scripts to load data from 50 different sources from AWS, Oracle cloud to Bigquery through Datastream. After that, I set up data models as views for the data analytics team to query using dbt (data built tool). PII and sensitive data are protected by automatically masking using dataflow and policy tags. I also built a small process to share PII data to the marketing team.
Senior Data engineer
Infinite Lambda
October 2021 - October 2022
- Projects: With a team size of 4, we built a collaboration hub for multiple warehouses on Snowflake. Project requires templates to run generated-SQL scripts to setup Snowflake accounts, environment databases, roles, objects. Then, we leveraged Fivetrans and Airflow to load and share data to the reporting-account for visualization on Power BI. I used AWS cloud as infrastructure for automation scripts (lambda functions). I wrote SQL views to have a dashboard on credits consumptions of different research institutes.
Cloud Professional Data Engineer
May 2019 - January 2022
- Google Cloud Professional Cloud Architect Google Cloud Professional Machine Learning Engineer Databricks Certified Data Engineer (Apache Spark) Provider: Google Cloud, DataBricks
Data engineer lead
Kodebaze Pte, Ltd
May 2019 - September 2021
- Projects: I handled ingesting and cleansing pipelines on Google Cloud for retail business intelligence warehouse. I wrote dataflow jobs (streaming and batching) to gather data from POS systems accumulated realtime on Pub/Sub. Data is ingested to Bigquery. Pipelines are capable of handling 10 Gigabytes both transactional and master data. I also built a web tool for analysts to modify master which is used as a reference for streaming data.
Sponsor
Credential
March 2019 - March 2021
- Amazon Web Services Projects: Using skin images from Dermnet to predict skin diseases. Project stacks: AWS sagemaker for machine learning, S3 and RDS for storage, Lambda for backend, React Native for mobile app. E-waiter technology: smart table ordering solution for restaurants. Project stacks: AWS ECS, Cloud formation, Cloudfront.
Data engineer
Sutrix Solutions Vietnam
July 2018 - May 2019
- Projects: I fully built auto-tagging, recommendation systems, crawled and cleansed 25000 text paragraphs, set up a machine learning pipeline to handle auto update, learning model. I leveraged AutoML product of Google Cloud to deploy realtime machine learning model to predict new tags name for text, pdf and video courses on an e-learning platform. Another project I joined is to write pyspark scripts to load geographical data into Bigquery and ochestraed by Airflow (GCP composer). Then, I used Bigquery geographical built-in SQL to analyze devices' longitude and latitude data to suggest the right digital ads. I built a dashboard on Tableau to demonstrate the hot pot of users.
Instrument and control engineer
Intel Products Vietnam
January 2017 - May 2018
- Projects: I was mainly an electrical engineer here. I used facility data analysis to prevent accidents or manufacturing interruption. I used technologies such as SAS JMP scripting language, Python pandas, numpy libraries and visualizing tools (matplotlib) on a jupyter notebook. Honors & Certifications
Education
