Andy Pham
Data Engineer @Berkeley Payments
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WORK HISTORY
Data Engineer @Berkeley Payments
Toronto, ON, CA
Design and develop scalable, event-based ETL pipelines using Python, Stored Procedures, Lambda Functions, EventBridge, to extract, transform, and load structured (csv, json) and unstructured data (text) from vendor sources into data warehouse in MySQL, PostgreSQL, and SQL Server.• Successfully lead the processor migration and builds an unified reporting layer, mapping daily files and rebuilding legacy jobs with clear documentation for smooth adoption. Upgraded Grafana logging to meet SLAs and support PCI/SOC 2 standards.• Designed the new reporting architecture to accommodate both the new processor’s data pipeline and the existing legacy data pipeline, enabling unified reporting across platforms.• Optimize data workflows to improve data processing, SQL query performance.• Upgrade Grafana logging to meet SLAs and support PCI/SOC 2 standards.• Enable leadership to spot sales trends, and financial fluctuations by integrating application, processor, and Zoho Desk data into AWS Aurora and delivering insight‑driven dashboards in Metabase and Quick Suite.
EDUCATION
Hanoi University of Business and Technology (HUBT)
Bachelor's degree
Springboard
Data Engineering
BrainStation
Diploma of Education
George Brown College
Diploma
ABOUT ANDY PHAM
Data Engineer who specializes in modernizing legacy reporting systems by aligning stakeholders, simplifying complex designs, and delivering high‑impact solutions under tight timelines. Applying AI agent and automation‑focused approach that reduce manual workload across finance, compliance, and operations by over 70%.
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