
MairMair Data Layer
Product data, synchronization logic and commerce processes were structured into a cleaner technical foundation.
From first vision to scaled infrastructure: a focused look at the systems we build for partners and for our own future.

Product data, synchronization logic and commerce processes were structured into a cleaner technical foundation.

A central data basis for reporting, models, automation, internal applications and new digital solutions.

Market data, product data, finance logic, time series and external sources are processed into reliable data workflows.

APIs, webhooks, middleware, authentication and process handovers are structured into stable system connections.

Data models, metrics and dashboards are shaped around the questions teams actually need to answer.
Events, funnels, analytics tools and reporting connections are structured so digital activity can be measured cleanly.

TradingView-related extensions and Python- or C#-based backtesting software make strategy logic technically testable.

Existing data is structured, cleaned and moved into new target systems so operations can continue reliably.

Public web data is collected, cleaned and prepared for market analysis, reporting or downstream data processes.