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Severin Lindenmann, Data & AI Engineer in Zurich

Severin Lindenmann

Data & AI Engineer · Zurich, Switzerland

I build data platforms on Databricks and Azure, and take AI applications from demo to production.

hello@severin.io · LinkedIn · GitHub

Databricks Partner Program — Solutions Architect Champion Badge
Databricks Solutions Architect Champion
Databricks Partner Program · Data Engineering, Agentic DevOps, MLOps

About

For over ten years I have worked where data, software and operations meet — from a Swiss federal apprenticeship in IT, through a degree in Data Science and Economics at Lucerne University of Applied Sciences, to my current work as a Data & DevOps Engineer in Zurich.

What interests me is the part after the prototype. A pipeline that runs in a demo notebook is not a data platform. An agent that impresses in a workshop is not yet an application you can operate. Getting there — governance, testing, cost control, monitoring, a clean handover to a team — is the part I find most interesting.

What I work on

Data Platforms & Lakehouse

Central data platforms on Azure Databricks: ingestion, transformation, modelling, governance. Delta Lake and Unity Catalog, Spark and SQL workloads, custom Python frameworks for metadata management.

AI Applications & Agents in Production

The step from prototype to operable application: evaluation and regression testing for LLM systems, monitoring, cost control, access control. Especially in regulated environments, where “usually works” is not good enough.

DevOps & Delivery

CI/CD for data and ML workloads, infrastructure as code, test and deployment pipelines. Increasingly agentic: coding agents for reviews, tests, migrations and documentation — agentic DevOps as delivery machinery, not as a buzzword. Plus establishing development processes and setting a team up so releases become boring.

Certifications & Degrees

Databricks Certified Data Engineer Professional Badge
Certified Data Engineer Professional
Databricks · 2025
Microsoft Certified Associate Badge
Fabric Analytics Engineer
Microsoft · 2025
Microsoft Certified Fundamentals Badge
Azure Fundamentals
Microsoft · 2025
GitHub Foundations Badge
GitHub Foundations
GitHub · 2025
IREB Logo
CPRE — Requirements Engineering
IREB · Future Network · 2025
Lucerne University of Applied Sciences Logo
CAS Data Engineering
Lucerne University of Applied Sciences · 2025
Hochschule Luzern Logo
BSc Mobility, Data Science & Economics
Lucerne University of Applied Sciences · 2024
Swiss Federal Diploma
IT Systems Engineering EFZ
Swiss Federal Diploma · 2017
Swiss Vocational Baccalaureate
Technical Vocational Baccalaureate
Berufsschule Aarau · 2020

Experience

Over ten years across data, software and operations — from the data centre through data warehousing to the Databricks platform. The part-time roles from 2022–2025 ran alongside part-time studies at Lucerne University of Applied Sciences.

  1. since Sep 2025
    Data & DevOps Engineer / Consultant — ALTYCA, Zurich
    Central data platforms on Azure Databricks, CI/CD automation, migration from Qlik to Power BI, establishing development processes and tooling.
  2. Jan–Sep 2025
    Data Engineer — b.telligent
    Data warehouse solutions and ETL pipelines with Databricks, Snowflake, Azure and Microsoft Fabric.
  3. 2024–2025
    CTO & Full Stack Developer — Voicy AG Teilzeit
    Voice-first web app for organisational self-reflection with AI-based data analysis.
  4. 2023–2025
    CTO & Data Scientist — Layer.swiss Teilzeit
    Building Layer.swiss, a spin-off of Oberholzer Digital, for data-driven business solutions in SME marketing.
  5. 2022–2024
    Consultant — Oberholzer Digital Teilzeit
    Data-driven strategies and web analytics stacks for clients.
  6. 2020–2022
    Application Manager — Screenimage Systems AG
    Implementation of digital signage software and automation solutions.
  7. 2013–2020
    System Engineer — Bechtle Schweiz
    Operating and developing systems and cloud services in the data centre; Swiss federal apprenticeship in IT systems engineering (EFZ).

Technologies

Data
DatabricksDelta LakeUnity CatalogSparkAzureMicrosoft FabricSnowflakeBigQueryPostgreSQLAirbyteSupersetPower BI
Languages
PythonSQLTypeScriptJavaScriptShell
AI
OpenAIAnthropicAzure AIAgent-FrameworksAgentic WorkflowsAgentic DevOpsMCPRAGEvaluation & Monitoring
DevOps
GitGitHub ActionsGitLabBitbucketJenkinsDockerGoogle CloudCI/CDInfrastructure as CodeServerless
Web
ReactNext.jsFastAPINode.js

Projects

Personal projects alongside work — where I try out whatever is occupying me technically, and learn fastest. Code and further experiments live on GitHub.

HFT Trading on Polymarket & Hyperliquid

Python · Low latency · Prediction markets · Perpetual futures

Custom trading infrastructure for high-frequency strategies on Polymarket and Hyperliquid: real-time market data ingestion, order execution under tight latency budgets, risk limits and end-to-end monitoring. A testbed for what a system looks like when it has to run unattended around the clock.

Swiss AI Weeks — Banking Client Simulation

Python · Data simulation · Financial sector

Synthetic banking datasets and personas for testing AI systems for fraud detection and customer analytics under realistic conditions. Scenario engine for configurable customer behaviour. → GitHub

Contract Generator

AI · Swiss & German law · Document workflows

AI-based platform for producing legally valid contracts — encrypted, with digital signature. For me primarily a study of what an AI application needs in order to actually be operated in a legally sensitive environment: traceable generation, clean templates, auditability.

LoRa IoT — Sailboat Sensor

IoT · LoRa · Hardware

Self-built low-power sensor for GPS, temperature and humidity, with live tracking over LoRa and a web dashboard.

Contact

Building a data platform, or working on getting AI applications into production? I am always glad to talk shop — no particular occasion needed.

hello@severin.io LinkedIn GitHub

Zurich, Switzerland · Usually replies within a day or two.