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@tuser16

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I build scalable cloud data platforms, pipelines, and cost-efficient analytics systems.

Vietnam

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At FPT Software, I migrated 2TB+ from PostgreSQL RDS to Snowflake, built reconciliation checks, and developed Airflow and dbt workflows for multi-tenant risk-scoring data.

I also built SnowSave, a Snowflake-compatible DuckDB proxy that reduced offline analytics compute costs by 90% while maintaining execution speed.

Previously at Anova Dealz and Yes4All, I designed AWS data platforms with Terraform, S3, Redshift, Glue, Lambda, Fargate, and dbt. I led data-team prioritization, built pipelines across 13+ sales, inventory, advertising, and finance sources, and shortened idea development from days to hours.

I work across Python, SQL, Airflow, Spark, Snowflake, and cloud infrastructure to make data reliable, accessible, and useful for business decisions.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

FPT Software

Jan 2025 - Present (1 year 8 months)

Migrated 2TB+ of data from PostgreSQL RDS to Snowflake with automated reconciliation checks. Designed Airflow pipelines and dbt models for multi-tenant data ingestion, and developed a Snowflake-compatible proxy using DuckDB to reduce compute costs by 90%.

PostgreSQL Snowflake Airflow DBT DuckDB Data Migration Data Validation SQL Python

Data Engineer

Anova Dealz

Nov 2022 - Dec 2024 (2 years 1 month)

Designed and maintained a cloud data platform on AWS using Terraform, with CI/CD pipelines. Led the data team, built scalable data pipelines with AWS Glue, and applied prompt engineering with OpenAI models to solve business problems.

AWS Terraform CI CD AWS Glue Redshift DBT Fargate Python OpenAI Lambda

Data Engineer

Yes4All

Feb 2022 - Oct 2022 (8 months)

Implemented and maintained on-premise Airflow pipelines, set up Amazon Marketing Stream data with SQS and PySpark, and optimized SQL queries in Postgres, reducing runtime by up to 41%. Developed a custom Python library to streamline data team workflows.

Airflow Amazon SQS PySpark PostgreSQL SQL Python ETL Performance Optimization

Data Engineer

Quant Nomad

Jan 2021 - Dec 2021 (11 months)

Built a technical analysis engine for trading signals, optimized ETL processes for large datasets, and integrated Great Expectations for data validation and monitoring.

Airflow ETL Great Expectations Python Data Validation Technical analysis