Raymond Chun
π About Me
Hi, I'm Raymond, a Data Engineer from Chicago, IL. I'm passionate about building efficient data pipelines, developing data governance, and driving insights with analytics. I love working with data and the technology surrounding it.

π What do I do?
I'm a Financial Applications Data Engineer at leading law firm, Mayer Brown LLP in Chicago. What does that really mean though? Basically, I help the firm manage its financial data. We have a lot of data and info!I manage data pipelines, optimize SQL processes, and ensure data integrity for financial systems. I work with Power BI, Azure, and Fabric to deliver reliable financial reporting. Since our attorneys and partners need information, I support billing, time tracking, and finance to drive data-driven decisions.I also work with data governance. While it's always been an interest, my current role really requires a lot of thought with data governance. We have a tremendous amount of sensitive and private data. Part of my work is to develop best practices and guardrails around that data.
π οΈTechnical Skills
β
Data Engineering β Building and optimizing data pipelines
π SQL & T-SQL β Writing and optimizing queries
π ETL & Data Integration β SSIS, ADF, Fabric
βοΈ Cloud Data Platforms β Azure Synapse, Databricks
π Data Governance β Compliance, lineage, quality
π Power BI & Reporting β Dashboards and report development
π Python β Pandas, PySpark for data cleaning and manipulation
π° Finance & Legal Data β Billing, matter management
π§ Version Control β Git, CI/CD for data pipelines
π€ Machine Learning β Predictive analytics and modeling
πΌ Work Experience
βοΈ Data Engineer at Mayer Brown LLP (current role) β Financial applications, finance data, and legal data governance
π¨ Data Analyst and Engineer at INX International Ink Co. β Developed data pipelines and BI reporting of commercial ink products
β‘ Product Management Analyst at Illinois Capacitor CDE β Analyzed capacitor data for product strategy
π¬ R&D Analyst at ILE Academy β Conducted research and data analysis to support educational program development
πEducation
β’ University of Illinois at Urbana-Champaign β Bachelor's Degree in Mathematics
β’ University of Illinois Springfield β Master's Degree in Data Analytics
β’ University of Illinois Springfield β Master of Business Administration (MBA)