Services
Azure data & AI consulting that ships.
Engagements scoped around outcomes — a working pipeline, a deployed copilot, a governed Power BI estate — not vague roadmaps.
Data Engineering
Design and build production data platforms on Azure — from ingestion to curated serving layers.
- ETL/ELT pipelines with Azure Data Factory
- Lakehouse architecture on Microsoft Fabric or Databricks
- Synapse Analytics warehouses and serverless pools
- Real-time ingestion with Event Hubs and Stream Analytics
- Delta Lake design, optimization, and governance
AI & Machine Learning
Take GenAI from prototype to production using Azure OpenAI and the broader Microsoft AI stack.
- Azure OpenAI implementations (GPT, embeddings, fine-tuning)
- Retrieval-Augmented Generation (RAG) architectures
- AI copilots and intelligent assistants
- Document intelligence and form processing
- AI governance, evaluation, and responsible AI guardrails
Cloud Architecture
Modernize your platform on Azure with security, scalability, and cost discipline built in.
- Azure migration assessments and roadmaps
- Data platform modernization (legacy → Lakehouse / Fabric)
- Networking, identity, and security architecture
- Infrastructure-as-Code with Terraform / Bicep
- Cost optimization and FinOps practices
Analytics & BI
Deliver trusted dashboards and a governed semantic layer that the business actually uses.
- Power BI semantic models (Import, DirectQuery, Direct Lake)
- Executive KPI dashboards and self-service enablement
- Tabular Editor and DAX optimization
- Power BI governance, deployment pipelines, and tenant settings
- Reporting automation and embedded analytics
Engagement modes
Three ways we can work together
Advisory
Architecture reviews, second-opinion sessions, and decision support for your team.
Build
Hands-on delivery — pipelines, models, dashboards, and the supporting CI/CD.
Embed
Longer-term engagement working alongside your team to ship and uplevel capability.