Peter Gerhat
Mobile Data Architect
Building Reliable Data Foundations at Scale
Your app collects data. But is your team actually making decisions with it?
About Me
Most companies with a mobile app or connected devices collect data, but still make product decisions based on gut feeling. The reason is almost always the same: mobile engineering and analytics work in silos. Events are tracked inconsistently, pipelines are fragile, and dashboards arrive too late to matter.
I fix exactly that. With 10+ years spanning mobile engineering, data pipelines, and AI integration, at Vodafone building telemetry infrastructure at scale, and at Sprengnetter connecting field operations data to business decisions – I’m the single person who can both instrument your app and build the pipeline behind it.
No coordinating two freelancers. No handoff risk. Decisions from real data, in 4-6 weeks.
Experience
Technical Product Owner
- Vodafone
- 2020 - Present
- Düsseldorf, Germany
- Built telemetry infrastructure and API gateway observability for mobile data products at scale.
Technical Product Owner
- Sprengnetter
- 2016 - 2020
- Bad Neuenahr, Germany
- Connected field operations apps and PropTech data pipelines to product decisions.
Software Developer
- CommerceBoard
- 2015 - 2016
- Berlin, Germany
Product Planner
- Mobile Heights
- 2014 - 2015
- Lund, Sweden
Application Developer
- MeaWallet
- 2013 - 2014
- Oslo, Norway
Software Engineer
- Toro
- 2012 - 2013
- Taipei, Taiwan
Education
MSc Information Systems
- Lund University
- 2014 - 2016
- Lund, Sweden
- Indices for Virtual Service Agent Design: Cross-Cultural Evaluation
MBA Business Analytics
- National Taiwan University of Science and Technology
- 2010 - 2012
- Taipei, Taiwan
- Fuzzy Algorithm for EFT Switch Node Selection
BSc Software Engineering
- Czech Technical University
- 2007 - 2010
- Prague, Czechia
- UIProtocol Client for Apple iPhone
What I Do (Services)
DATA & ANALYTICS AUDIT
You suspect there's more in your app data. In 1–2 weeks I map what you have, what's missing, and where the biggest untapped value is.
OFFLINE-CAPABLE FIELD APPS
Field teams work where connectivity is unreliable. I build React Native apps with on-device validation and full offline capability - no server dependency, no lost data.
MOBILE ANALYTICS SETUP
Your app fires events, but nobody trusts the data. I instrument from the source, build the pipeline to BigQuery, and deliver dashboards your team actually opens.
LLM/AI INTEGRATION IN MOBILE APPS
LLM features in mobile apps are booming. hardly anyone can do both (app + AI integration).
IoT / TELEMETRY PIPELINE & OBSERVABILITY
Device data lands somewhere but is never used. I build a clean pipeline with SLOs, alerting, and cost monitoring - from chaos to control.
ON-DEVICE / EDGE ML INTEGRATION
Your data team has a model. Nobody can get it into the app. I bridge that gap: production-ready, offline-capable, latency-optimized.
Not sure if your app data is telling you anything useful?
Start with a free 30-minute audit call.
I'll look at what you're currently tracking, where the gaps are, and what a complete pipeline would look like for your setup - no commitment, no sales pitch.