DATA ENGINEERING

High-fidelity data pipelines

We engineer robust SQL architectures, custom Power BI models, and automated Python scraping scripts to eliminate manual bottlenecks and prevent processing leakage.

REAL-TIME OBSERVABILITY

The operational dashboard

We translate complex relational databases into clear executive views. Monitor live queue volumes, SLA countdowns, and processing bottlenecks from a single high-fidelity interface.

Queue Performance Monitor

Live processing metrics compiled directly from Power BI architectures and automated DAX measures.

99.8%

Pipeline Uptime

+14%

SLA Margin Improvement

EVALUATE ROW("Leakage Rate", [Total Leakage] / [Total Claims])

4.2 hrs

Average Turnaround Time

ENGINEERING CAPABILITIES

Architectures built for scale

We replace fragile manual data entry with enterprise-grade automation pipelines engineered to prevent SLA breaches. Our architectures guarantee clean data ingestion and real-time processing visibility.

Python Automation

SQL & DAX Modeling

Power BI Delivery

Deploy custom scraping and ingestion scripts that extract unstructured claim data directly from carrier portals, eliminating manual entry errors entirely.

Build optimized relational database schemas and complex DAX measures calculating real-time processing leakage, providing instant operational audits.

Deliver interactive executive dashboards displaying live queue volumes, SLA countdowns, and auditor performance metrics to keep leadership informed.

Audit your pipelines

Get a comprehensive technical assessment of your claims data architecture. We will identify exact leakage points and outline a clear path to SLA compression.