Modern data platform design
We architect medallion lakehouses, dimensional models, and semantic layers aligned to your BI and AI roadmap — on Microsoft Fabric, Azure, Snowflake, or hybrid SQL Server estates.
ANSI Analytics Services
Enterprise Data Engineering Services
We design and build production-grade data platforms that unify siloed sources, enforce quality, and feed analytics at scale. From greenfield lakehouses to modernizing legacy warehouses, our data engineering services help you ship trusted data faster.
Pipeline engineering & orchestration
Our engineers implement robust batch and streaming pipelines with Azure Data Factory, Fabric Data Factory, dbt, and T-SQL — with monitoring, alerting, and CI/CD baked in from day one.
Governance, quality & observability
We embed data contracts, lineage, and quality checks so stakeholders trust every dashboard and model downstream.
Frequently Asked Questions
- What does a data engineering engagement include?
- Typical engagements cover discovery, target architecture, pipeline development, testing, documentation, and knowledge transfer — scoped to your timeline and team capacity.
- Which cloud platforms do you support?
- We specialize in Microsoft Azure, Microsoft Fabric, and SQL Server, with additional experience on Snowflake and hybrid on-prem plus cloud setups.
- How long does a data platform project take?
- Pilot pipelines can ship in 4–8 weeks; full platform rollouts vary by source complexity, governance needs, and integration scope.
Let's deliver the right solution for your business
We've helped 120+ clients discover growth through data engineering, analytics, and intelligent automation.