About me – Debby's

My career has two chapters. I spent the first half figuring out what questions to ask: running national surveys, managing $2M research projects, and winning an international research award. I spent the second half figuring out how to answer them at scale: building cloud data platforms, automating pipelines, and deploying AI tools that people actually use.

The combination means I don’t just build the system. I build the right system.

My career has been a deliberate evolution. I spent the first half mastering the “Why” (Research & Strategy), and the second half mastering the “How” (Data Engineering & Architecture). Most people do one or the other. I do both and it means I see the whole picture, not just my corner of it.

I now build the engines of automated innovation. This era is defined by transforming manual workflows into secure, government-grade systems and engineering the infrastructure that turns raw data into reliable assets.

• Architected a security-first AWS cloud data environment built to enterprise compliance standards from day one, leading cross-functional vendor collaboration and establishing automated data quality frameworks

• Engineered automated ETL/ELT pipelines using PySpark and SQL across multiple organizational data sources (2 hours → 5 minutes)

• Built end-to-end Text-to-SQL-to-Chart pipeline using LLM, democratizing data access for non-technical stakeholders

• Managed Tableau data ecosystem: 14+ dashboards, certified data sources as single source of truth, query optimization, governance and access controls

• Led hands-on training sessions on AWS infrastructure, PySpark, and SQL performance tuning

• Built analytics dashboards with A/B testing driving 138% higher engagement than platform average

Managing $2M+ research projects and leading the impact evaluation for Singapore’s largest social service fund ($580M). This was where I learned how to manage stakeholders, define business value, and tell stories with data.