Data engineer building measurement systems for ads — and execution systems for markets.
Munich · VollcomDigital · Python · BigQuery · Pine Script
I spent a decade in MarTech & AdTech (Google Ads, Meta, programmatic) building attribution, pipelines, and ML for performance marketing. Now I apply that same rigor — idempotent data, no lookahead, hard risk limits — to quantitative trading and DeFi infrastructure.
Public work: quant-pine · cloudflare-control-plane · docs portal
| quant-pine | Pine Script strategies & indicators — the research layer for systematic trading |
| cloudflare-control-plane | Edge security for webhooks & APIs — WAF, Workers, Terraform |
| quant-system (private) | Multi-asset platform: 8+ data feeds, backtesting, paper/live execution with OMS/RMS split → architecture docs |
flowchart LR
A[Pine signal] --> B[Backtest]
B --> C[RMS gate]
C --> D[OMS / live]
Most teams treat ads measurement and trade execution as separate worlds. I work at the overlap — where attribution lag looks a lot like bar lag, and budget caps look a lot like position limits.
→ MarTech → Quant series · OMS / kill-switch design
BigQuery · dbt · Polars · ML / forecasting · DeFi · Cloudflare Workers
See public changelog for weekly repository activity (auto-generated).
Quant infra, data pipelines, Pine Script, or MarTech measurement — open an issue to start a conversation.
“Data is a tool for empowerment, not just measurement.”