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.

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Lars Cornelissen
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.

lars@studio ~/ai-products 
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.

01

Data platforms that stay useful

Snowflake, Matillion, Python, AWS, SQL, dashboards, and pipelines with enough structure to support decisions without turning into maintenance theatre.

02

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.

03

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.nl
Newsroom

Data Today

A data and AI newsroom that turns the latest research, engineering, and business trends into charts and sourced conclusions, so you understand the story before everyone else.

Open data-today.net

Experience

A builder with production context.

I bring startup energy into enterprise environments, and enterprise discipline back into my own product work.

Mar 2025 — Present

Alliander · D&A

FinOps & AI Engineering

Arnhem, Netherlands · Hybrid

Driving cloud cost visibility and FinOps practices across the data platform, while building AI and LLM-powered tooling. Turning Snowflake and AWS spend into clear, accountable decisions and shipping RAG-based assistants that make data work faster for engineering teams.

FinOps AI Engineering RAG Snowflake AWS Python
Dec 2023 — Mar 2025

Alliander · F4F Data

Snowflake & Matillion Data Platform

Arnhem / Amsterdam, Netherlands · Hybrid

Designed and maintained production cloud data pipelines and reusable data products on Snowflake and Matillion. Established platform standards, automation, and reliable ELT flows that keep enterprise analytics dependable at scale.

Snowflake Matillion Python AWS SQL Data Pipelines
Aug 2023 — Dec 2023

Alliander · F4F Data

SAP HANA to Snowflake Migration

Arnhem / Amsterdam, Netherlands · Hybrid

Led the migration of enterprise data models and workloads from SAP HANA to Snowflake. Re-engineered legacy logic into cloud-native pipelines, preserving data integrity while unlocking the scalability and performance of a modern data platform.

SAP HANA Snowflake Matillion Python SQL
May 2023 — Jul 2023

Alliander

SAP Consulting & Data Analytics

Arnhem / Amsterdam, Netherlands · Hybrid

Started as a student SAP consultant, working with SAP HANA, Python, and R to analyse enterprise data and explore early AI concepts. Built the foundation for the cloud data work that followed.

SAP HANA Python R Data Analytics
2022 — Present

Datastudy · Self-employed

AI Products & Automation

Netherlands · Remote

Founded and lead a data and AI studio building practical products for ambitious teams. Scope spans full-stack apps, LLM and RAG workflows, automation, and end-to-end data systems — always shaped around what a business actually needs to move faster.

AI Engineering RAG Fullstack Python FFMPEG Automation

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.

PythonSnowflakeAWSFinOpsAI EngineeringMatillionFullstackRAGFFMPEGSAP HANAGit PythonSnowflakeAWSFinOpsAI EngineeringMatillionFullstackRAGFFMPEGSAP HANAGit

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.

Email me Datastudy CV