Data engineering - Boston, MA

Building data systems people can trust.

I'm Nathan Hung, a Data Engineer with 3+ years building and validating production cloud-native investment data pipelines. I deliver mission-critical data for trading, compliance, and quantitative investment teams while raising engineering standards across delivery teams.

Boston, MA · U.S. Citizen · (360) 851-9560 · Email · LinkedIn

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Currently at MFS Investment Management Delivering mission-critical pipelines for trading, compliance, and quantitative investment teams.

Tools of the trade

SQLSnowflakeDBT CloudFinancial Data ModellingADOClaudePythonGITAzure Blob StorageFast API

Professional Experience

Senior Data Engineer

MFS Investment Management - Nov 2025 - Present
  • Develop across an enterprise platform with 2,400+ nodes and 600+ models, processing 1.8B+ security analytics, 180M+ security master, and 100M+ position records.
  • Own the migration of business-critical Instrument ID generation for the Adroit derivatives trading platform from MuleSoft to FastAPI and APIM.
  • Drive end-to-end delivery of a Bloomberg-driven dbt SEC compliance pipeline covering all 40 MFS funds, meeting an aggressive regulatory deadline.
  • Build fixed-income analytics composites in dbt and Snowflake for portfolio managers and traders, sourcing Bloomberg, Rimes, Perform, JPM, and internal analytics.
  • Architect Morningstar ESG holdings analytics with complex hierarchical cross-reference logic.

Senior QA Data Engineer

MFS Investment Management - Sep 2025 - Nov 2025
  • Served as QA SME and lead for a Unified Data Platform delivery team; trained three QA engineers in Snowflake and dbt.
  • Designed and delivered an end-to-end Python API regression suite for Financial Instrument Service.
  • Researched and established dbt unit testing and YAML selector practices as standards across three delivery teams.
  • Led recruitment and technical interviews for data engineering contractors and interns.

QA Data Engineer

MFS Investment Management - Sep 2023 - Sep 2025
  • Led Snowflake automated testing for the Unified Data Platform across bond and index futures, credit default swaps, and indexes.
  • Validated ELT pipelines sourcing Rimes, Bloomberg, JPM, Eagle, and Maverick data to create composite analytics for the CRIMS trading platform.
  • Developed a dbt regression tool for cloud CI/CD jobs across three delivery teams and led a testing cleanup that improved pipeline health by over 90%.
  • Built software to poke and poll automated jobs across MuleSoft, dbt, Fivetran, and Collibra applications through REST APIs.

Data Engineer Intern

Optum - Jun 2023 - Sep 2023
  • Built Databricks and Scala data pipelines.

Automation Developer Intern

Johnson Controls - Feb 2023 - Apr 2023
  • Developed automation with ASP.NET Core and Bot Framework.

Product Engineering Intern

Navient - May 2022 - Aug 2022
  • Contributed to ASP.NET MVC product development.

Data Analyst Intern

Stalgia - Oct 2021 - Apr 2022
  • Worked with PostgreSQL, MongoDB, and Python data pipelines.