About
Staff data engineer with 10 years of experience designing and operating large-scale data platforms. Specialises in lakehouse architecture, dbt semantic layers, and data quality monitoring. Comfortable bridging the gap between raw ingestion pipelines and the self-serve analytics needs of business stakeholders.
Languages: English, Thai, Mandarin
Technical Expertise
Primary stack
PythondbtSnowflakeApache AirflowApache SparkAWS GlueLooker
Also works with
PySparkDelta LakeGreat Expectationsdbt CloudFivetranAirbyteRedshiftBigQueryMetabasePower BIPrefectDagster
Experience
- Staff Data EngineerHired2020 – Present
- Designed a lakehouse architecture on AWS ingesting 8 TB/day from 35+ source systems via Airflow-orchestrated ELT pipelines
- Built a dbt semantic layer serving 200+ business metrics, enabling self-serve analytics and reducing ad-hoc SQL requests by 55%
- Established Great Expectations data quality monitoring with 97% anomaly detection coverage, enforced pre-dashboard-load
- Senior Data EngineerGlobal Telco2017 – 2020
- Rebuilt a fragile nightly batch pipeline into a real-time Spark Streaming architecture, reducing reporting lag from 24 hours to 15 minutes
- Centralised 6 disparate analytics silos into a single Snowflake data warehouse, halving the time to answer cross-functional queries
- Data EngineerMarket Research Firm2015 – 2017
- Built ETL pipelines in Python and SQL to consolidate survey, CRM, and web analytics data for client reporting
Education & Certifications
M.Sc. Data Engineering
Chulalongkorn University · 2015
Certifications
- dbt Analytics Engineering Certification
- AWS Data Analytics Specialty