About
About this site
SpeakDataWith is my working journal for data and AI systems: architecture decisions, operations, and the tooling that carries a platform in day-to-day use.
It is written for experienced practitioners. Technical vocabulary stays technical vocabulary, and what is complex gets explained rather than flattened. If you already run data pipelines, you should not have to start with the basics.
The topics come out of my own work: data modeling, warehousing and operations on the one side, agentic systems and autonomous tooling on the other. The two belong together, because an agent is only as good as the data it works on.
My rule for every article: a statement is either sourced, or it is recognizable as an observation from my own work.
Data is only as valuable as the understanding it creates.
How I back what I write
External statements (documentation, standards, prices, public benchmarks) are linked directly in the text. Where a claim rests on my own reproducible work, it points to a public artifact: a repository, a pull request or a run log.
Not every artifact behind an article is public; some repositories are private. Where that is the case, the article says so. Only what is reachable without access gets a link. These projects are open to inspection:
- quality-gates-toolkit provides reusable quality gates for CI and pre-commit. This repository runs them itself.
- agentic-developer-core is the orchestrator that lets autonomous agents implement and verify tasks.
About me
I'm Luis Arteaga, a Lead Consultant at INFOMOTION, based in the Hamburg area of Germany. I build data systems that hold up in operation, and I write about what carries them, and about what does not.
My career started in marketing management, where I saw how much data can do for a business. I wanted a deeper understanding, so I moved into the data world itself. For over five years I have worked in roles such as Data Scientist, Analytics Engineer and now Data Engineer, at companies including INFOMOTION and Lotto24 AG.
As a consultant I help clients build data systems that grow with their requirements (scalable), hold up under load (resilient), and where all the data works together cleanly (integrated).
Beyond client work, I build autonomous agentic systems and orchestrators with LangChain and LangGraph.
My main areas of expertise are:
- Snowflake
- Microsoft Power BI
- dbt
- Data Modeling
- Data Analysis
- SQL
- Python
I'm a big believer in always learning, and I hold a few certifications that show that commitment:
- Claude Certified: AI Architect Foundation (Anthropic)
- SnowPro Core Certification
- dbt Certified Analytics Engineer (dbt Labs)
- Microsoft Certified: Fabric Analytics Engineer Associate
- Microsoft Certified: Power BI Data Analyst Associate
- Matillion Associate Certification
- Certified Data Vault 2.0 Practitioner (Legacy)
- ITIL 2011 Foundation
I also hold a Bachelor of Science degree in Business Informatics: the foundation this work builds on.
Beyond the data
When I'm not working in data, I read: science fiction, technical books, anything that catches my interest. I also stay active: running, circuit training and some yoga to keep things balanced.
Connect with me
Want to connect beyond the blog? Here is where I am online, and what you can expect on each platform:
- GitHub: my open-source work lives here. Reusable quality-gates tooling and autonomous agent systems. Code, issues and project decisions are public.
- LinkedIn: this is where I keep things professional. Let's connect and talk about data, architecture decisions, or the state of the industry. I also share articles and insights I find valuable.
- X (Twitter): think of X as my "data thoughts" space. Short takes on news, interesting articles, and the occasional question to spark a discussion.
- Goodreads: I'm a bookworm. On Goodreads we can swap recommendations, see what I'm currently reading, and discuss all things literary, from data management books to anything else that catches our interest.
- Substack: if you are into science fiction and fantasy books, you can find my reviews on Substack.