Guido
de Vries
Data Strategist & Data Architect · 15+ years experience · Netherlands
I’m a data strategist and data architect. I help organizations make data a genuine part of their decision-making. Not by building yet more dashboards, but by first determining what information is needed to make better decisions — and then making sure that information actually gets there.
My strength is the combination of strategy and execution. I design data strategies and architectures at board level and build them myself. That’s why my work doesn’t end up as a report in a drawer — it creates real change. In 15 years I’ve built 8 data platforms, transformed more than 100 TB of data and designed and implemented 3 data strategies.
I work directly and without fluff. No thick reports or consulting jargon, but clear choices and concrete results an organization can act on immediately. Technology is never the goal — the question is never which tooling is the fanciest, but what information an organization needs to make better decisions.
Since 2018 I’ve done this as an independent consultant for public and private organizations — from mid-sized companies to enterprise environments like Lely, Inter IKEA and Viterra.
Want to use data to make better decisions? Let’s talk.
What I do.
Through the 4D method to a data strategy that aligns with decision-making: concrete initiatives, architecture and organizational design you can act on immediately.
From platform and data structure to dashboards and data processes. I actually execute the strategy — strategy and execution belong together.
Scalable data platforms on Snowflake, Azure or open-source. Data Vault, dimensional or metadata-driven, with dbt, Dagster, Python and SQL.
15 years.
Built, not described.

At Lely — a global technology and robotics organisation — shaping the enterprise data architecture strategy for analytics, integrations, operational reporting and AI use cases across multiple business domains. Established standards for data modeling, metadata, YAML-driven engineering and data contracts; designed architecture and governance for a distributed platform with domain-oriented ownership. Used BlueDolphin as the architecture tool to model both the data models and the business processes, so data and process sit in one coherent picture.
Analytics engine. Designed a new system and built it as a proof of concept on DuckDB and a .NET in-memory API. Data is extracted simply, transformed with dbt, staged in DuckDB and served through the .NET API. KPIs and dimensions live in YAML configuration: adding a KPI is configuration, not code. Includes data quality tests and automatic lineage. Handed over to the development team for the path to production.
Result: improved consistency, engineering scalability and discoverability — concrete building blocks for a mature data operating model that connects business strategy with engineering execution.





What I bring.
Background.
Let's talk.
30 minutes, no commitments, honest advice.