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

0years in data & BI (2014 → now)
0companies across gaming, fintech & insurance
0 → 1built a data function from scratch
BR · Nordicsregulated-market experience
// 01 overview

The whole data function, end to end

Strategy, team, platform and analytics, owned by one person and tied to commercial goals.

STRATEGY

Leadership & roadmap

Data strategy reviewed quarterly with the C-level. Hiring, performance, promotions, and an operating model with sprints, code reviews and structured intake.

PLATFORM

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.

ANALYTICS + AI

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

SourcesCRM, product, payments, billing, partners, KYC and regulatory feeds
IngestReal-time streaming and replication, plus batch where it fits
TransformOrchestrated pipelines with consistent schema and quality standards
WarehouseCloud warehouse (Snowflake, Redshift), governed access, infrastructure as code
ConsumeBI dashboards, regulatory reporting, AI-powered queries, automated alerts
// 02 ai consultancy

AI in development. Claude for insight.

Two practical ways I help teams get value from AI without giving up governance, quality or control.

AI-ASSISTED DEVELOPMENT

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.

Team workflowsPrompt & context standardsCode review rulesBuild-vs-buy with AI
CLAUDE-POWERED INSIGHTS

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.

Natural-language analyticsClaude skillsAgentic workflowsGoverned KPIs

insight_flow · how a question becomes an answer governed end to end

QuestionA business user asks in plain language
ContextClaude skill loaded with KPI definitions and schema rules
QuerySQL generated against the warehouse with read-only access
CheckGuardrails and definitions keep results consistent and auditable
InsightAnswer, chart or alert delivered back to the team

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

1 · AssessYour data, team, tooling and where AI would pay off first
2 · PilotOne focused use case, built with your team and measured
3 · EmbedStandards, guardrails and training so it sticks
4 · Hand overYour team runs it. Optional ongoing advisory
// 03 career

Career, plotted

Twelve years from BI developer to Head of Data. Hover a bar for details.

roles_timeline 2014 – 2026

iGamingFintechInsurance

years_by_sector approx.

  • ≈ 6.5 yrs iGaming
  • ≈ 4 yrs Fintech
  • ≈ 2 yrs Insurance

scope_growth team & remit

// 04 stack

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

Data StrategyRoadmapsTeam Building & HiringPerformance MgmtC-Level StakeholdersBuild-vs-BuyCost ManagementVendor & ContractsSelf-Service AnalyticsKPI DefinitionsData QualityAccess ControlRegulated Environments

ai & automation

AI-Enabled AnalyticsClaude skill → SQLAgentic Workflows (N8N)AI-Assisted DevelopmentInfrastructure-as-Code

industries

iGamingFintech & PaymentsB2B Data Products
// 05 impact

Selected results

Head of Data · KTO

2025 – present · iGaming
  • 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

2021 – 2025 · Fintech
  • 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

2018 – 2021
  • 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

2014 – 2018
  • 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.
// 06 work with me

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
Book a discovery call

Also open to senior data leadership roles.

Let's talk data

Based in Birkirkara, Malta. References available upon request.