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Aspiring Data Engineer

Chu Tuan Linh

I am focused on data engineering fundamentals: designing ETL/ELT pipelines, writing clear SQL, modeling data for analytics, and building reproducible systems. I enjoy projects that involve messy raw data, transformation logic, orchestration, and making data trustworthy.

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Skills

Data engineering fundamentals

Grouped skills make it easy to scan the stack used across pipeline, modeling, and reliability work.

Languages

PythonSQLJavaC++

Databases / Warehouses

PostgreSQLBigQuerySnowflake

Data Engineering

ETL/ELTBatch pipelinesData modelingData quality checksData validationWorkflow orchestration

Tools

dbtAirflowDockerGitLinuxVercel

Cloud

AWSGCP

Projects

Featured data engineering projects

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Ecommerce Market Batch ETL Pipeline

Ready

A batch ETL pipeline project that ingests transaction data, validates schemas, and produces daily revenue metrics.

Stack

Python, SQL, PostgreSQL, Docker

GitHub repository Read case study

dbt Analytics Warehouse

In progress

A draft analytics engineering project that models raw event and account data into tested warehouse layers.

Stack

dbt, SQL, BigQuery, Git

GitHub repository Read case study

Airflow Data Quality Workflow

Draft content

A draft orchestration project that schedules pipeline tasks and records validation results for operational visibility.

Stack

Airflow, Python, SQL, Docker, PostgreSQL

GitHub repository Read case study

Case Studies

Technical writeups

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Draft content

Airflow Data Quality Workflow

Draft case study for an orchestrated workflow that separates extraction, transformation, validation, and publish steps.

 Draft content

Batch Sales Analytics Pipeline

Draft case study for a batch ETL pipeline that turns raw sales exports into validated revenue metrics and dimensional tables.

 Draft content

dbt Analytics Warehouse

Draft case study for transforming raw warehouse tables into tested staging, intermediate, and mart models with dbt.