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Hoang Thieu Huy

@hoangthieuhuy

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Data engineer focused on scalable pipelines, BigQuery optimization, and measurable cost and performance improvements.

Vietnam

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What I'm looking for

I seek roles where I can build scalable, cost-efficient data platforms, collaborate with ML and product teams, and improve pipeline performance and data quality.

I am a data engineer specializing in building scalable, cost-efficient data platforms and pipelines that deliver reliable analytics.

At AHAMOVE I redesigned core data models and implemented dbt-based pipelines, reducing query resource consumption ~10x and shrinking a legacy invoice pipeline from ~27 hours to ~30 minutes using BigQuery, dbt and Airflow.

Previously at YODY I partnered with AI/ML engineers to produce production-ready feature pipelines, automated ETL/ELT workflows on GCP, and improved data quality through Python (Pandas, PySpark) preprocessing and governance practices.

I bring a pragmatic, cross-functional approach—combining data modeling, orchestration, and tooling—to improve observability, performance, and team productivity.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Ahamove

Jan 2025 - Present (1 year 5 months)

Re-engineered core data models and built dbt-based pipelines to improve scalability and integrity, reducing query resource consumption ~10x and improving downstream analytics. Rebuilt a legacy invoice pipeline into BigQuery+dbt+Airflow, cutting end-to-end processing from ~27 hours to ~30 minutes.

BigQuery DBT Airflow PostgreSQL SQL Python Data Modeling GCP Data Pipelines

Data Engineer

Yody

May 2024 - Dec 2024 (7 months)

Built and automated ETL/ELT workflows on GCP to enable ML feature pipelines, performed large-scale data cleaning and preprocessing, and optimized BigQuery models to improve query performance and reduce cloud costs.