Full-Stack Developer | 3+ Years Experience | React, Next.js, Node.js, PostgreSQL

Professional summary

I am a data analyst and digital solutions specialist with over three years of commercial experience building BI systems, data pipelines, reporting dashboards, and automation workflows. I hold a BCom in Information and Technology Management and am currently working through CS50x, Harvard’s computer science programme. My background covers the full data lifecycle: collecting and cleaning raw data, building pipelines, designing dashboards, and getting the right numbers in front of the right people. What separates me from most analysts at this stage is that I have never been in a purely academic or theoretical environment. I founded Fortune3HSK (Pty) Ltd at 18, a registered, VAT-compliant technology and data solutions company based in Johannesburg. Through that business I have delivered complete data solutions for clients across retail, finance, logistics, and technology. I have designed data warehouses, built ETL pipelines, and created dashboards that leadership teams use every day to understand what is happening in their businesses. Running a company from 18 gives you a commercial instinct and delivery accountability that you simply do not get from coursework.

Technical Skills

Business Intelligence and Reporting

• Zoho Analytics for building dashboards, KPI reporting systems, and performance views from live API data sources
• Dashboard design end to end: connecting data sources, defining metrics, laying out visualisations, and handing the finished product to the end user
• Experience building BI systems that fully replace manual reporting processes, cutting reporting overhead by up to 60%
• A clear understanding of what business stakeholders actually need from data, turning numbers into something a non-technical person can act on

Data Engineering and Pipelines

• PostgreSQL and SQL for database design, querying, transformation, and query optimisation
• ETL pipeline design covering collection, cleaning, normalisation, transformation, and aggregation
• Hands-on experience fixing real data quality problems including aliasing conflicts, UNION ALL subquery issues, and reconciling data from multiple sources
• Supabase for real-time database management and API-connected data workflows
• REST API integration for pulling live external data into reporting systems

Automation and Analytics

• n8n for building automated data workflows, scheduled reporting pipelines, and cross-system data sync
• Claude API for building automation agents that handle data capture, customer interaction logging, and operational reporting without manual input
• CRM integration and lead data pipeline management across Zoho Suite
• Experience building systems where data flows, transforms, and reports on its own schedule

Supporting Technical Skills

• React.js and Next.js: enough front-end experience to work directly with development teams on data-facing product features
• Node.js and JavaScript for scripting, API calls, and backend data logic
• GitHub for version control and collaborative project management
• Google Analytics for web performance data and digital reporting
• POPIA-compliant data handling: practical experience with data governance, privacy regulations, and responsible data management

Notable Projects

Business Intelligence Dashboard from Live API Data

Built a full BI reporting system for a client pulling real-time data from a live API, running it through custom SQL pipelines, and presenting it as interactive sales and operational metrics in Zoho Analytics. The tricky part was fixing data quality issues: aliasing conflicts and UNION ALL subquery problems that were causing inaccurate numbers. Solved those, got the reporting accurate, and delivered a dashboard the client uses daily. This project covers the full analytical workflow from raw data source to something a business can make decisions from.

Automated Reporting Pipeline, Marketing2theMax

Built an n8n automation workflow that replaced a manual, spreadsheet-dependent reporting process. The system pulls data from multiple sources, transforms and aggregates it on a schedule, and delivers formatted reports without anyone touching it. Cut manual reporting overhead by roughly 60%. The team now spends that time on analysis rather than data prep.

AI-Powered Data Capture and Automation System

Built an agent system using n8n and the Claude API that handles inbound customer data capture, routes and logs interactions, and triggers follow-up workflows based on data conditions. A practical example of using AI tools to extend a data pipeline into something that reacts to events in real time rather than waiting for a human to step in.