Industries

Where I work, and where the work transfers

Data engineering patterns travel well. I lead with the industries where I have direct delivery experience, and I take work in adjacent domains where the same primitives apply and your team brings the domain rules.

Direct experience

Industries I've shipped in

Current

Payments & digital banking

Real-time transaction pipelines, reconciliation data models, and finance and ops dashboards. My scope is the data platform downstream of the transactional systems, not compliance or accounting.

Read the fintech details →

Five years

Connected consumer products

IoT telemetry from fleets in the millions, recommendation systems at scale, and the analytics backbone that lets product teams understand how their devices are actually used.

At Alexander Thamm for a leading smart kitchen appliance brand.

Recent

Industrial & machine data

Streaming pipelines that turn machine telemetry into operational KPIs. Architectures where minutes of latency matter because someone on a factory floor is waiting on the answer.

At Alexander Thamm for a food & beverage equipment supplier.

Transferable

Industries I'm open to

A fraud-detection pipeline and an IoT anomaly pipeline are the same problem wearing different labels. These are adjacent domains where the data engineering work I've already done transfers directly and where your team supplies the domain knowledge.

E-commerce & marketplaces

Order and payment data, reconciliation against processors, unified customer views across channels.

SaaS & product analytics

Event pipelines, usage metrics, and the warehouse that sits under product and growth dashboards.

Logistics & operations

Event-driven operational data, telemetry from fleets and sensors, KPIs for teams that live in the real world, not on dashboards.

Other data-heavy B2B

Any context where the real work is getting reliable numbers to people who have to decide with them.

Engineering, not domain

What I bring is the engineering discipline that makes data pipelines reliable, observable, and cheap to run. Platform choices that fit your stage. Models that make your domain rules executable at scale.

What I don't bring is your domain expertise. Your accountants, your risk analysts, your ops team, your product folks - they know what the rules should be. I build the systems that let them do their jobs faster, more accurately, and with less manual work.

Your industry not listed?

That's often where the interesting work is. Let's talk.

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