Data Engineer building production pipelines on Azure & GCP. Currently: real-time fraud detection + live market analytics.
I've spent the last year building production data pipelines on Azure and GCP — designing ETL/ELT architecture, real-time fraud detection that runs in under 5 seconds, and observability layers that tell you when your data is stale before your stakeholders do. Currently at Kyanon Digital delivering data solutions across real estate analytics and enterprise domains.
Core competencies built through production experience.
A selection of data engineering projects showcasing end-to-end pipeline development, automation, and cloud infrastructure expertise.
Lambda Architecture Fintech Platform
Real-time Financial Data Platform
End-to-end data synchronization pipeline for employee, member roles, and account management with comprehensive failure logging.
Modern Data Stack implementation with containerized ELT system, automated workflows, and real-time data quality monitoring.
Test automation framework for CMS migration using SeleniumBase, enabling automated QC and content verification.
Backend development and refactoring for EU legal data platform, including web crawlers, authentication, and subscription systems.
Data stack audit and optimization for analytics infrastructure, including BigQuery, Fivetran, and BI tool evaluation.
End-to-end modern data lakehouse architecture on Microsoft Azure for tracking and analyzing wood supply chain operations.
Career progression focusing on data engineering, cloud infrastructure, and building scalable data systems.
Lead the design and implementation of end-to-end data infrastructures for complex projects. Master the Modern Data Stack ecosystem to deliver optimized, scalable solutions.