Summary
Nam Ngo is a Data Engineer with 10 years of experience specializing in ETL, Airflow, web scraping and data processing for the real estate sector. He has driven measurable improvements in data reliability and observability, cutting critical data SLAs from a day to under two hours while operating distributed scraping and ETL pipelines. Comfortable across the stack, he combines Python, Scrapy, ElasticSearch, PostgreSQL and Meltano to map and serve geo-street level datasets at scale. Currently at Lumin, he is implementing data quality and discovery tooling such as Great Expectations and DataHub to make pipelines more auditable and self-serve. Trained in econometrics and quantitative economics, he brings a data-first analytical mindset to engineering trade-offs and business needs. Based in Ho Chi Minh City, he consistently adopts the technologies required by the job and prefers practical, observable solutions over theoretical purity.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA, Econometrics and Quantitative Economics, Bachelor of Arts - BA, Econometrics and Quantitative Economics at National Economics University (Vietnam)