Vu Trinh

Founder @ vutr

About

I've been a data engineer since 2019.In that time, I've read a lot of articles, watched many talks, and followed many "best practice" guides.Most of them were fine. Useful, even. But they always stopped just short of the thing I actually needed, the part where someone explains how it behaves when real data hits it. Or why the team made that design call. Or what it costs when you get it wrong at 3 am. That gap is what I write about.Not tutorials. Not tool comparisons. Long-form articles on how data systems actually work, and on the mindset of a production-ready data engineer.Because I've noticed something after six years: the technical knowledge is learnable. The harder thing is developing the judgment to know when to apply it. How to reason about trade-offs under pressure. When to push back. When to just ship it and fix it later.That's not something you get from a 5-minute read.I write the longer version. At vutr.substack.com, read by 18,000+ engineers who, I assume, also find the short version a bit unsatisfying.

Country

Vietnam

City

Ho Chi Minh City

Industry

Computer Software

Skill

Data Build Tool (DBT), Continuous Integration and Continuous Delivery (CI/CD), Google Kubernetes Engine (GKE), Bigquey, SQL, Python (Programming Language), Google Cloud Platform (GCP), Shell Scripting, Amazon Web Services (AWS), Docker, Amazon Athena, AWS Lambda, Apache Ambari, Amazon S3, Elastic Stack (ELK), Apache Airflow, Apache Hadoop, Linux, Apache Spark, Amazon Redshift

Experience

Founder

vutr

2023-9 - Present · 3 yrs 1 mo

Building a learning platform for data engineers: articles and CLI tools to become production-ready.

Data Engineer

Amanotes

2022-6 - Present · 4 yrs 4 mos

Data Platform: ◉ Built a batch updater system that ingests ~6 TB of data daily into the platform ◉ Maintain 100+ dbt models and the Cloud Composer environment — daily ops, CI/CD integration, model migration, and Airflow DAG development ◉ Run Spark jobs for heavy data transformations ◉ Contributed to a GCP cost-optimization initiative: peaked at $10K in monthly savings Self-Analytics Tool (internal no-code analytics for non-technical users): ◉ Manage CI/CD pipelines across all environments ◉ Operate services on Google Kubernetes Engine (GKE) ◉ Developed the backend in Flask and PostgreSQL Researching and building new platform: ◉ Designing YAML-configured Dagster + dbt + dlt pipelines, each game team can customize ingestion and transformation logic independently

Data Engineer

GIANTY

2021-10 - 2022-6 · 9 mos

◉ Built a data warehouse from scratch: BigQuery, Dataflow, PubSub, Debezium, Apache Superset ◉ Implemented best practices for performance optimization and cost reduction ◉ Mentored junior engineers

Data Engineer

GalaxyOne

2020-7 - 2021-9 · 1 yr 3 mos

Ho Chi Minh City, Vietnam

◉ Handled ingestion and processing for workloads up to hundreds of millions of records ◉ GCP stack: BigQuery for the warehouse, Cloud Function for ingestion, Cloud Data Fusion for ETL ◉ AWS stack: Airflow on EC2, S3, Athena, Redshift, Apache Superset on EC2

Data Engineer

Xoaisoft

2019-9 - 2020-6 · 10 mos

◉ Deployed ELK stack, Apache Spark, Hadoop, and Ambari on Docker and bare-metal ◉ Built Python integrations with Elasticsearch ◉ Crawled and processed web data using Python and BeautifulSoup