Looking for a job

James Ma

@jamesma

Message

Data Engineer at Manulife who automated review of 100,000+ legacy files, saving an estimated $400K+ annually.

Canada

Message

At Manulife, I engineered an Azure document-processing pipeline that extracted and curated data from more than 100,000 handwritten legacy files, eliminating a manual review process and saving an estimated $400K+ annually.

I also built an LLM-powered data quality tool that reduced manual QC effort by 90%. Before that, I developed hydraulic models for Calgary flood prevention, improved model accuracy to 90%, and translated results into recommendations that reduced project costs by $2 million.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Manulife

Jan 2022 - Present (4 years 9 months)

Engineered an end-to-end document-processing pipeline using Azure Form Recognizer and custom validation logic, eliminating a manual review process and saving an estimated $400K+ annually. Built an automated data-integrity tool using Azure Form Recognizer and the OpenAI API, reducing manual QC effort by 90%.

Azure Azure Databricks Azure Data Factory Azure Data Lake Storage Delta Lake Python PySpark SQL Apache Spark OpenAI API Azure Form Recognizer Power BI Docker GitHub Actions Terraform LLM RAG

Water Resources Engineer / Hydraulic Modeller

Various Civil Engineering Firms

Jan 2015 - Dec 2022 (7 years 11 months)

Developed advanced hydraulic models for Calgary flood prevention using geospatial/GIS data and the National Water Data database, improving model accuracy to 90%. Translated model outputs into capital-planning recommendations that reduced project costs by $2 million.

Hydraulic Modeling Geospatial Data GIS Power BI Data Modeling predictive modeling Hydrometric Modeling Regulatory Compliance