Ecommerce Market Batch ETL Pipeline
ReadyA 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
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.
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
Fintech Sentinel
In progressA real-time transaction monitoring and fraud detection lakehouse for simulated digital banking data.
Stack
PostgreSQL, Debezium, Kafka, PySpark, Apache Iceberg, MinIO, Nessie, dbt, Airflow, Great Expectations, Trino, Grafana, Docker
Read case studyAirflow Data Quality Workflow
Draft contentA draft orchestration project that schedules pipeline tasks and records validation results for operational visibility.
Stack
Airflow, Python, SQL, Docker, PostgreSQL
GitHub repository Read case studyCase Studies
Technical writeups
Draft content
Airflow Data Quality Workflow
Draft case study for an orchestrated workflow that separates extraction, transformation, validation, and publish steps.
In progressFintech Sentinel
In-progress case study for a real-time transaction monitoring and fraud detection lakehouse using CDC, Kafka, Spark, Iceberg, dbt, Airflow, and Great Expectations.
Draft contentBatch Sales Analytics Pipeline
Draft case study for a batch ETL pipeline that turns raw sales exports into validated revenue metrics and dimensional tables.