Head of Data · AI-enabled analytics consultant
Robert Mifsud Bonnici.
Data you can trust. AI you can use.
I help data teams bring AI into how they build, and use Claude to get faster, better insights from governed data. Backed by a decade of running data functions in iGaming and fintech, and by AI workflows already live in production.
query_results live
illustrative · not real figures
The whole data function, end to end
Strategy, team, platform and analytics, owned by one person and tied to commercial goals.
Leadership & roadmap
Data strategy reviewed quarterly with the C-level. Hiring, performance, promotions, and an operating model with sprints, code reviews and structured intake.
Cloud, cost & build-vs-buy
AWS and Snowflake architecture, vendor contracts, and a monthly cost review that cut spend significantly with no loss of performance.
Self-service on governed KPIs
One source of truth, guardrails, and AI that turns business questions into queries, so teams decide on data they trust.
data_flow · how I build it sources → insight
AI in development. Claude for insight.
Two practical ways I help teams get value from AI without giving up governance, quality or control.
Ship data work faster, with review intact
Introduce AI coding assistants into the data engineering workflow: pipelines, SQL, tests, documentation and tooling. I set the guardrails (code review, testing, access limits) so speed doesn't cost reliability.
Ask in plain English, get answers from governed data
Connect Claude to your warehouse through governed KPI definitions and read-only guardrails, so business teams can explore data themselves and trust what comes back. Agentic workflows turn those insights into alerts and actions.
insight_flow · how a question becomes an answer governed end to end
proven_in_production from my own work
Natural-language analytics
Built a Claude skill that turns business questions into Redshift queries on governed data, giving teams fast, accurate access.
AI-assisted build
Delivered an in-house payment reconciliation tool using AI-assisted development, as part of a build-vs-buy decision.
Agentic automation
Used N8N agentic workflows to ship alerts and integrations quickly, with Terraform keeping deployments repeatable.
how_we_work typical engagement
Career, plotted
Twelve years from BI developer to Head of Data. Hover a bar for details.
roles_timeline 2014 – 2026
years_by_sector approx.
- ≈ 6.5 yrs iGaming
- ≈ 4 yrs Fintech
- ≈ 2 yrs Insurance
scope_growth team & remit
Technology exposure by role
Which tools I've worked with at each stage, from the Microsoft BI stack to modern cloud platforms.
tech × role heatmap filled = used
governance & leadership
ai & automation
industries
Selected results
Head of Data · KTO
- Own data strategy and roadmap, reviewed quarterly with the C-level and shared across departments.
- Lead a Data Lead, Data Architect and Data Engineers; set sprints, code reviews and request intake.
- Monthly AWS cost review eliminated waste and significantly reduced spend, no loss of performance.
- Built an in-house payment reconciliation tool with AI-assisted development.
- Own the AWS platform (Redshift, DMS, Glue, Airflow): batch plus near-real-time replication.
- Launched AI self-service analytics: a Claude skill turning business questions into Redshift queries.
- N8N agentic workflows for fast alerts and integrations; Terraform for repeatable deployments.
- Driving data quality and auditability in Brazil's newly regulated market.
Head of Data · Weavr.io
- Built the data function from scratch: structure, roles and end-to-end hiring.
- Chose Snowflake as the core platform: secure B2B data sharing and elastic, low-cost compute.
- Delivered a warehouse on Snowflake, Apache NiFi and Kafka, mixing streaming with incremental batch.
- Automated usage and revenue flows into a billing platform for financial reporting.
- Negotiated vendor renewals and contract lengths; adopted open source where it fit.
- Trained the business on Metabase and dataset definitions to build a self-service culture.
Data Lead · Global Gaming
- Led Data Engineering and BI for a multi-brand Nordic operator.
- Real-time Snowflake and Kafka pipelines building a unified player view.
- Reporting in Tableau and Superset, matched to each report's complexity.
Earlier roles
- NetRefer · BI Specialist: Azure warehouse redesign; co-created the PMI analytics product.
- Betclic · BI Developer: high-volume regulated reporting.
- Atlas Insurance · BI & Data Analysis Developer.
Let's bring AI into your data work
- AI-assisted development for data engineering teams
- Claude-powered natural-language analytics on governed KPIs
- Agentic workflows for alerts, integrations and automation
- Data strategy and roadmap for leadership teams
- Platform, vendor and cost reviews
- Building or reshaping a data function, and data quality for regulated markets
Also open to senior data leadership roles.
Let's talk data
Based in Birkirkara, Malta. References available upon request.