You can hire anyone with a dbt certificate and an opinion about Snowflake. Or you can hire someone with a decade of real pipelines, real stakeholders and real production systems behind them.
Not theory. Not tutorials repackaged into a portfolio. Twelve years of work produced under pressure for clients and organisations that expected the numbers to be right and the system to keep running. That is the difference. And it runs through everything built here.
ELT pipelines and warehouses for Greenslate and Latchel. Global reporting for Swarovski. Org-wide automation analytics for Experian. A P&L reporting suite for Walmart. AI-powered policy Q&A for BCG. Production AI agents shipped under the RubikSoft banner.
I'm not a data influencer with a course to sell. I built a career as an engineer.
Twelve-plus years turning raw data into decision systems — from ingestion to dashboard to deployed AI agent. The work spans ETL/ELT, data warehousing, BI architecture, NLP and the new generation of agentic systems. The throughline is simple: ship systems that hold up when the business depends on them.
Founder, product manager, lead engineer and analyst across fintech, retail, insurance, luxury retail and consulting — twelve years of production systems, not slide decks.
Start with the decision. Every pipeline, warehouse and model I build begins with the question the business is actually trying to answer. Architecture before tooling. Tooling before code.
Ship to production. ELT systems, BI layers, AI agents — built to run unattended, observed properly and handed over with documentation that survives the engineer who wrote it.
Stay close to the system. Monitoring, KPIs, human-in-the-loop validation and continuous iteration. The work doesn't end at deployment. It begins there.
I build the systems that turn data into decisions — from pipeline to dashboard to production AI agent. If you need someone who can architect it, code it and ship it, I am ready to talk.
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