Three things. Done right.

We don't do everything. We do data engineering on Azure and Databricks — and we do it at a level that lets you sleep through the night.

01

Data pipeline engineering

We design, build, test, and monitor ETL/ELT pipelines that handle your data at scale. No fragile SSIS packages. No mystery failures. Just reliable data, on time, every time.

ETL/ELT pipeline design

We architect data flows that handle schema evolution, late-arriving data, and source system changes gracefully. Built for production, not proof-of-concept.

Legacy migration

Moving from SSIS, Informatica, or stored-procedure-based ETL to Azure Data Factory and Databricks. We migrate without disrupting your business.

Pipeline orchestration

Complex dependency management, retry logic, error handling, and alerting. Your pipelines run themselves — you only hear about them when something needs attention.

Data quality & testing

Automated data validation, schema checks, and reconciliation. We build trust in your data before it reaches a dashboard.

Azure Data Factory Databricks PySpark Delta Lake Auto Loader Delta Live Tables

02

Cloud data platform

We architect modern data platforms on Azure that your team can actually manage. Lakehouse, data warehouse, or hybrid — we design for your workload, not for a vendor demo.

Lakehouse architecture

Medallion architecture (Bronze → Silver → Gold) on Databricks with Delta Lake. Structured for both data engineering and data science workloads.

Data warehouse design

Dimensional modeling, slowly changing dimensions, and incremental load patterns. We build warehouses that perform at scale and are easy to extend.

Governance & security

Unity Catalog for centralized access control, data lineage, and audit logging. Column-level security and data masking for sensitive workloads.

Cost optimization

Right-sizing compute, auto-scaling clusters, spot instances, and storage tiering. We've cut Azure bills by 40–60% for clients who were over-provisioned.

Azure Synapse Microsoft Fabric ADLS Gen2 Unity Catalog Azure SQL Cosmos DB

03

Analytics & reporting

We build Power BI solutions that people actually trust and use. Proper semantic models, automated refreshes, and dashboards that answer the questions your business is actually asking.

Power BI development

From data modeling to DAX measures to pixel-perfect report design. We build reports that load fast and tell a clear story.

Semantic layer design

A well-designed semantic model means business users can self-serve without breaking things. We build the foundation that makes that possible.

Automated reporting

Scheduled refreshes, paginated reports, email subscriptions, and embedded analytics. The right data reaches the right people at the right time.

Migration & optimization

Moving from Excel, Tableau, or legacy SSRS to Power BI. We also optimize slow reports — most performance issues are data model problems, not DAX problems.

Power BI DAX Power Query Paginated Reports Row-level Security Embedded Analytics

Flexible engagement, serious delivery.

Time & material

Best for ongoing projects with evolving scope. You get a dedicated team, billed hourly or daily. Full transparency on hours and deliverables.

Best for: ongoing platform work, iterative development

Staff augmentation

Need an extra data engineer or architect on your team? We embed our people into your workflows, your tools, your standups. They work like your own team — because for the duration, they are.

Best for: scaling capacity, filling skill gaps

Fixed-scope projects

Clear deliverables, clear timeline, clear price. Best for well-defined migrations, dashboard builds, or pipeline implementations where the scope is known upfront.

Best for: migrations, one-time builds

Not sure what you need?

Book a free 30-minute consultation. We'll look at your current data setup and tell you what's working, what's not, and what to prioritize — no strings attached.

Book a free consultation