Skills

I define and deliver data products from initial problem discovery through to implementation, adoption and continuous improvement. This includes defining outcomes, KPIs, business logic, ownership, roadmaps, priorities, governance and delivery requirements, with a clear focus on whether the product improves a real operational or commercial decision.

I analyse complex business challenges, operating processes, users, dependencies, constraints and decision points before proposing a solution. I translate these findings into clear functional, technical and data requirements, ensuring that teams solve the underlying business problem rather than simply building what was initially requested.

I apply a disciplined approach to validating data definitions, source-system logic, completeness, duplication, reconciliation, business rules, edge cases and output accuracy. I incorporate control points, UAT, traceability and change management so that operational teams and decision-makers can trust the resulting data products.

I have built secure single-tenant and multi-tenant business applications covering CRM, HR, logistics, service management, inventory, project management, maintenance, billing and invoicing. My hands-on experience includes Next.js, React, Supabase, PostgreSQL, authentication, row-level security, APIs, cloud storage, payment integrations and production deployment.

I translate business questions into testable hypotheses, identify the required data and measures, challenge assumptions and investigate alternative explanations. I use exploratory analysis, segmentation, trend analysis, root-cause investigation and forecasting to support decisions relating to demand, capacity, labour, profitability, customer experience and operational performance.

I design practical end-to-end solutions across user interfaces, databases, authentication, APIs, workflow engines, cloud services and reporting platforms. I consider scalability, security, latency, maintainability, integration complexity and cost while ensuring that the architecture remains appropriate for the business environment in which it must operate.

I transform spreadsheet-based processes, manual hand-offs and uncontrolled document versions into structured digital workflows. These solutions incorporate validations, approvals, exception handling, audit trails, user accountability and integrated reporting to reduce operational risk while improving speed, consistency and visibility.

I bridge the gap between business, data, engineering, reporting and operational teams. I establish clear scope, priorities, ownership, dependencies and decision-making while remaining technically involved enough to test assumptions, challenge proposed solutions, resolve delivery blockers and protect the quality of the final product.

I design relational data models, database relationships, tenant isolation, access policies, constraints, validation rules and query structures for both transactional SaaS products and analytical use cases. I understand how database design affects application security, performance, reporting reliability and future scalability.

I define KPI logic, reporting structures, semantic requirements and governed data-consumption patterns across Power BI, Snowflake and custom web interfaces. My focus is on consistent definitions, reliable calculations, appropriate performance and architectures that remain manageable when business rules and reporting requirements change.