Data platforms that stay useful
Snowflake, Matillion, Python, AWS, SQL, dashboards, and pipelines with enough structure to support decisions without turning into maintenance theatre.
Building useful AI and data products
Hey, I am Lars.
I am a Data Engineer
I turn messy data, practical business challenges, and fast-moving AI ideas into systems that people can actually use. Think clean pipelines, automation, cloud cost clarity, and AI implementations that leave the demo stage.
Currently shipping
agent.pipeline.run({
data: "business context",
output: "working product"
})
The focus
Practical AI with engineering discipline.
My favorite work sits where business owners need momentum and engineers need things to keep running. I design systems that are sharp, understandable, and built for real adoption.
const lars = { craft: ["data engineering", "software", "automation"], specialties: ["FinOps", "LLM workflows", "cloud data"], mindset: "ship the useful version, then make it elegant", outcome() { return "AI systems people trust enough to use"; } };
10M+
combined views from a fully AI-automated YouTube project.
2022
started building products and automation as a business owner.
End-to-end
from raw data and cloud infra to interfaces, agents, and adoption.
How I help
From idea to working system.
I like projects with a clear business result, technical depth, and enough room to automate the boring parts properly.
AI workflows beyond the demo
LLM-powered products, document analysis, agentic flows, and human-friendly tooling that connects AI capability to the work people already do.
FinOps and automation thinking
Cost-aware cloud decisions, operational visibility, and pragmatic automation for teams that want to move faster without losing control.
Selected work
Things I keep building.
A few ventures that show the range: culinary software, creator-economy automation, data products, and practical systems built around real workflows.
Culinary software
Galivora
A recipe-management platform for professional chefs and restaurants, built to preserve culinary knowledge, manage recipe versions, collaborate with teams, and import recipes from PDFs or photos.
Open galivora.com
Creator economy
StreamClick
A programmatic influencer-marketing platform that replaces weeks of negotiation with automated bounty pools, AI compliance checks, audience analysis, and instant creator payouts.
Open streamclick.org
Data & AI
Datastudy
A data and AI company focused on transforming raw information into actionable intelligence through data-driven strategies, projects, research, and business-focused implementation.
Open datastudy.nlExperience
A builder with production context.
I bring startup energy into enterprise environments, and enterprise discipline back into my own product work.
2023 - now
Data Engineer at Alliander
Building and improving cloud data solutions across Arnhem, Amsterdam, and remote teams using Matillion, Snowflake, Python, and AWS.
2022 - now
Owner and Lead Data Engineer at Datastudy
Creating AI, BI, automation, and data engineering products for practical business use cases.
2019 - 2024
HBO-ICT, Data Solutions Development
Data engineering, statistics, modelling, software, and applied AI, finished with international business and data-driven decision-making experience.
Stack
Tools I reach for.
The stack changes per business case, but the goal stays the same: make the system clear, observable, and worth using.
PythonSnowflakeMatillionAWSFinOpsLLMsJavaScriptSQLPowerBIAutomationAPIsData Pipelines
PythonSnowflakeMatillionAWSFinOpsLLMsJavaScriptSQLPowerBIAutomationAPIsData Pipelines
Next
Got a growth opportunity with AI automation?
I like turning unclear ideas into shipped systems. Send me the rough version, the messy process, or the thing you wish your tools already did.