Dao L

Senior Data Engineer

FPT • Temps plein

Apr 2026 - Present • 5 mos

Owning end-to-end data pipelines for a healthcare client, from ingestion to transformation and delivery. Working across AWS services, Airflow, dbt, Snowflake, SQL Server, and Spark to build and maintain scalable, reliable data infrastructure. Leveraging Claude Code to accelerate development - writing and debugging pipeline code, generating documentation, and speeding up day-to-day engineering workflows with AI-assisted coding.

Data Engineer

GEM Corporation • Temps plein

Aug 2024 - Apr 2026 • 1 yr 8 mos

I've delivered end-to-end data engineering solutions for enterprise clients, including: - ETL Pipeline Development: Designed and built ETL pipelines using SSIS and Python to ingest Excel/CSV files into MSSQL environments for reporting. - Cloud Data Migration: Led migration of Oracle databases and data warehouses from on-premises infrastructure to GCP as part of a 30-person team, addressing scalability, performance, and cost challenges. Built Apache Airflow (Cloud Composer) DAGs to replace legacy shell/cron-based pipelines, refactored Oracle PL/SQL into PostgreSQL, and used GCP Dataflow for high-throughput stream/batch validation during the migration. Tech stack: MSSQL, SSIS, Python, PowerBI, GCP (Composer, Dataflow), Oracle, PostgreSQL, SQL, Airflow, Visual Studio

Analytics Engineer

GAMOTA • Temps plein

Jul 2023 - Aug 2024 • 1 yr 1 mo

Analytics - Explore, fathom and clarify analytics requirement from different departments. - Perform analytics and query tasks to gain quick insights & responses. - Build Looker dashboards and visualize data to support workflows. Ensure the reliability and consistency of data products. - Act as a growth member specializing in Marketing, optimizing Budget and Creatives strategy. Engineering - Design business matrices and dimensional data models for various business functions for Data Lakehouse. - Implement enterprise semantic layer and maintain the of quality of metadata using Unity Catalog. - Extract and integrate data from internal sources (SDK, Log Server) and external ones (Facebook Ads, Google Ads, Tiktok Ads, MMP). - Transform and load data by batch or stream using PySpark and SQL. - Maintain & streamline existing data pipelines with Databricks Workflows, S3 and Airbyte. - Perform frequent data quality checks and version control on codes. - Plan, test and estimate cost for new technology solutions. - Document workflows and processes using Figma, Miro and draw.io. - Communicate with solution providers to untangle and solve technical issues.