Consultant and data strategist with 15+ years of experience across E.ON, Avast and ING Bank. I help companies define data strategy, build modern data platforms and create a culture where data genuinely drives decisions.
I work with companies that want to turn data into a real competitive advantage — not just better reporting. I help define data strategy, select and build the right platform, establish governance and create a culture where data genuinely informs decisions at every level.
I bring 15+ years of hands-on experience spanning every data role — from analyst and architect to CDO — at organisations such as E.ON, Avast and ING Bank. I understand both sides of the equation: technical reality and strategic ambition. That lets me bridge the gap between IT and leadership and help organisations move forward without unnecessary detours.
Whether you're tackling data strategy, migrating to a modern cloud platform, rolling out AI across the business or transforming your data team — let's talk.
I also run hands-on training sessions and workshops on AI adoption, SQL and data analysis for teams at all skill levels.
Alongside strategic advisory, I design and facilitate workshops tailored to your team's needs. Whether you want to upskill your analysts, build AI fluency across the organisation or help business teams become more confident with data — the topics below are where I can help.
Practical AI adoption workshop for teams and executives. Focused on real tools, real use cases and building genuine AI habits — not just awareness.
Hands-on training covering SQL from the ground up through to analytical querying. Designed for business analysts, finance teams and anyone who works with data daily.
Building a data-literate organisation from the inside out. Tailored for non-technical teams who need to read, question and use data confidently in their daily work.
My work spans the full data and AI spectrum — from hands-on platform architecture to organisational strategy and team leadership. These are the core areas where I can add the most value.
Databricks, Azure, Delta Lake, Medallion architecture, Unity Catalog. From architecture design through delivery and operations.
Strategy aligned with business domains, ownership model, Data Catalog, data quality standards and MDM.
Embedding AI into business processes, building AI literacy across the organisation, ML use cases and AI-driven decision making.
Building and leading data teams, agile transformation to a product model, OKR framework, servant leadership.
End-to-end BI solutions, Power BI, KPI reporting for management and board level. Self-service analytics.
GDPR compliance, RBAC models for DWH and Data Lake, data masking, access control, retention policies.
A selection of projects that reflect the depth and breadth of my experience — from enterprise platform architecture and organisational design to data governance, compliance and reporting. Each represents a meaningful initiative with real business impact.
Architecture and delivery of a modern data platform on Databricks & Azure — Medallion architecture, Unity Catalog, Delta Lake. The backbone of all data and AI activity across the company.
Design and implementation of the Data & AI Tribe as a product organisation — product team structure, OKR framework, seniority model and ways of working aligned with agile principles.
Architecture and development of a Customer 360 platform — unifying customer data from disparate systems into a single source of truth for analytics and personalisation at global scale.
Owner and lead of the global Enterprise Data Warehouse. Design, management and maintenance — successful migration from MS SQL to Greenplum (90 databases, 4 TB of data, 10 business-critical projects).
Integration of customer PII data onto a unified platform to handle GDPR requests. ETL pipeline development and connection to the company's public GDPR portal.
KPI reporting for top management and stock exchange disclosure. Full database layer, ETL automation and custom orchestration. Outputs served as the basis for strategic leadership decisions.
Introduction of an RBAC model for DWH and Data Lake access control. Definition of data masking procedures, PII anonymisation, data retention policy and security standards.
Design and implementation of a Master Data Management solution — defining master data domains, data quality management, data profiling, acquisition and merging processes.
Over 15 years across energy, cybersecurity and banking — always at the intersection of data, technology and business. Each role has added a new layer: from hands-on engineering to architecture, management and C-level strategy.
Interested in working together, sharing ideas or just a data conversation?
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