Chan User

I’m a Business/Data Analyst who helps organizations trust their data. I specialize in SQL-based data validation, system-level problem solving, and process optimization—especially where high-volume operations depend on accurate, SLA-driven outputs.

At Amazon, I led data validation and issue triaging across large-scale catalog and SQL competitor mapping pipelines. I write validation checks to surface inconsistencies, then use root cause analysis to collaborate with business stakeholders and upstream teams until issues are resolved and downstream reporting is protected.

I design and implement ETL pipelines using Amazon Redshift and automated extraction/transform/validation workflows that power reliable dashboards in Power BI. I also build KPI frameworks and monitoring dashboards to track SLA adherence, data quality metrics, and operational performance so failures are identified early—not after they impact decisions.

On the analytics side, I’ve delivered automated reporting workflows and KPI analytics using SQL with QuickSight, and I’ve improved matching logic efficiency through multi-attribute reconciliation. I bring a clear, practical mindset: translate ambiguous requirements into structured data solutions and validation rules that scale.