Phong Nguyễn Huỳnh Thanh

Designed and implemented end-to-end data pipelines using ArcPy and Python to synchronize geospatial data from on-premises SQL Server to Google Cloud SQL. Built automated workflows and validation flows to ensure data accuracy and consistency.

Designed and deployed ETL pipelines using Airflow and Python, integrated data from multiple sources, and built interactive dashboards in Apache Superset. Developed data pipelines in SSIS and Azure Data Factory for client projects.

Supported the Operations team by developing monitoring dashboards and metrics. Extracted data from SQL Server, transformed with PySpark on Databricks, and automated pipelines to feed real-time metrics into Grafana dashboards.

Extracted large-scale data from PrestoDB into AWS S3 for ad-hoc analysis. Analyzed e-wallet transactions and transport booking data, and built Airflow pipelines for compliance and regulatory reporting.

Designed ETL pipelines with Airflow for daily operational reports. Extracted and transformed data from BigQuery and SQL, and built dashboards with Google Data Studio for KPIs.

Cleaned and loaded HR/Finance data into SQL Server. Built reports and dashboards in PowerBI, Excel, and Metabase, and delivered monthly and quarterly reporting packages.

Bachelor's Degree in Accounting from Industrial University of Ho Chi Minh City, completed in 2020.