Paul Han
Data Engineer @Dtric Insurance Company, Limited
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WORK HISTORY
Data Engineer @Dtric Insurance Company, Limited
Honolulu, HI, US
Subsidiary of the MS & AD Group (consistently top 40 in market cap globally for insurance sector) Role Highlights• Conducted end-to-end project management (analysis, road mapping, vendor coordination, etc.) on a backlog of 314 data products outlying from a 5-year ongoing core system migration• Delivered on 16 data products anywhere from 1-3 months in scope and provided usability training, documentation, and support to ensure users could fulfill their needs with minimal future involvement with IT personnel• Filled in the gaps of the existing data pipeline architecture at little to no operating cost by managing the integration of open-source software, namely, dlt, dbt Core and Dagster• Spearheaded the initial implementations of many modern data stack (MDS) hallmarks:(1) cloud ingestion platform with change data capture (CDC) metadata injection,(2) source-controlled data transformation framework,(3) OLAP-oriented data warehousing with segregated storage and compute,(4) data orchestration tool,(5) dimensional modeling following the Kimball methodology and the semantic layer
EDUCATION
Babson College
Bachelor of Science, Data Analytics & IT Management
ABOUT PAUL HAN
Operational teams see me as a \"tech guy\", and engineers think I\'m too \"business-y\". For much of my career, I\'ve teetered, wondering whether intrapreneurship or software architecture/implementation is my strength. Well, the verdict isn\'t out yet. I\'m just as comfortable giving a presentation in a board room as I am doing a detailed review on a pull request.Despite a trove of friends and family suggesting that I get a Computer Science degree, I found myself at business school for my Bachelor\'s.\"A CEO is a CTO\'s boss,\" would be a tongue-in-cheek way of describing my decision criteria, but what can I say? I was a highschooler. Despite my career eventually turning its trajectory back towards the engineering end of technology, I\'m still business-minded in the way I approach problems. I aim for net value over peak performance. I steer people over projects. I track towards goals over deadlines. Obviously, none of the above is mutually exclusive (far from it actually), but anyone whose tried to bridge business cohorts with their corresponding engineering ones have exerienced this divergence in priority. That being said, I can walk the walk when it comes to technical solutions and many things adjacent. The majority of my career has been data-centric, but I\'m not in foreign territory when it comes to full stack development or DevOps. I practically live with my head in docs, and in my free time you\'ll find me trying out all things OSS.
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