01
Source mapping
Inventory systems and critical data domains.
Service
Data Engineering
Reliable pipelines and warehouses that make data trustworthy and usable.
What we offer
We build the foundations for analytics and AI: ingestion, transformation, quality checks, and governed access so teams can trust the numbers they act on.
Key capabilities
- ETL/ELT pipelines
- Data modeling
- Warehouse design
- Quality monitoring
- Access governance
- Real-time streaming
Our process
How we deliver data engineering with predictability.
02
Model
Design schemas for analytics and operational use.
03
Pipeline
Automate ingestion, transforms, and validation.
04
Govern
Apply access controls, lineage, and documentation.
05
Enable
Deliver datasets and APIs for BI and product teams.
Technologies we use
Python
PostgreSQL
MongoDB
Redis
AWS
Azure
Relevant case studies
ForgeOps Plant Control Suite
Plant operations software that improved OEE visibility and reduced unplanned downtime.
Read case study →UrbanCart Commerce Rebuild
Headless ecommerce rebuild that lifted conversion 24% and cut page load times in half.
Read case study →CivicOne Citizen Services Portal
A citizen portal that digitized 40+ services with accessibility and audit compliance.
Read case study →Need Data Engineering?
Share your context. We will outline an approach, timeline, and team shape that fits.