Data Architecture
Data models, source-of-truth design, lifecycle state, reconciliation, historical data, identifiers, and system boundaries.
Data Architecture · Data Engineering · Software Systems
Designing reliable systems for complex data and software problems.
I design and build production data platforms, automated processing pipelines, cloud infrastructure, search and e-commerce data systems, and bespoke software where correctness, scale, and operational reliability matter.
Capabilities
What I build
Systems are designed around authoritative data, predictable state, verification, and maintainability.
Data Engineering
High-volume ingestion, ETL and ELT, transformation, validation, parallel processing, and repeatable batch pipelines.
Software Engineering
Production Java and Spring Boot applications, APIs, database services, automation tooling, and long-running processing systems.
Cloud & Delivery
AWS infrastructure, S3 and CDN publication, containerized workloads, CI/CD, deployment automation, verification, and cleanup.
Search & E-commerce Data
Product information, taxonomy, facets, variants, feeds, structured product data, search infrastructure, and technical SEO.
Document & Semantic Systems
XML, XSLT, XProc, DITA-OT, RDF, SPARQL, Schema.org, JSON-LD, and publishing pipelines.
Selected Work
Representative systems
A selection of recent and specialist engineering work.
01
Backend & Data Platform for Large B2B E-commerce
Backend architecture and engineering supporting a large B2B e-commerce website with an excellent store rating, processing hundreds of thousands of products across supplier data, product information, taxonomy, variants, search feeds, structured data, images, and web publication.
02
Image Processing & CDN Pipeline
Automated ingestion, image identity tracking, WebP conversion, resizing, persistent processing state, alternate-image lifecycle handling, CDN publication, and post-upload verification with failure recovery.
03
SEC Data & Document Processing
Parallel acquisition and transformation of historical and daily SEC data, including structured extraction from XML, HTML, and unstructured filings for targeted downstream analysis.
04
Automated Publishing & Semantic Pipelines
CI/CD and document-engineering systems that transform structured content into web and print outputs using XML technologies, semantic data, containerized tooling, and automated publishing workflows.
Technology
Core technical stack
Languages
Java, Python, Bash, SQL, XSLT, XML/XQuery, HTML, CSS
Application & Data
Spring Boot, Spring Data, MongoDB, MySQL, REST APIs, Hibernate
Cloud & Infrastructure
AWS, S3, CloudFront, EC2, CloudFormation, Docker, Linux, GitLab CI/CD
Data Engineering
ETL/ELT, parallel processing, validation, reconciliation, web data ingestion, data pipelines
Search & Structured Web Data
Schema.org, JSON-LD, taxonomy, faceted search, product feeds, semantic HTML, technical SEO
Document & Semantic
DITA-OT, XSLT, XProc, RDF, SPARQL, XML Schema, Schematron, MarkLogic, GraphDB, Jena
Experience
More than two decades solving technical problems.
I have developed software and data solutions since 2002 for organizations and projects across North America, Europe, Africa, and Australia. My work has included publishing, financial and regulatory data, web platforms, infrastructure, analytics, semantic systems, and e-commerce.
Earlier specialist work includes rough-set data analysis using Binary Decision Diagrams and a publication in Revista Real Academia de Ciencias.
Selected organizations and projects
Oxford University Press, Dorling Kindersley, Pearson Education, Penguin Books, European Union OHIM, The Weather Network, Brock University, financial and regulatory-data projects, and international consulting engagements.
Contact
Have a difficult data or software problem?
Available for architecture, engineering, technical review, and bespoke system development.