The Expert Role
We own the result, accept responsibility, and execute the action plan. Technical control rests with us — you stay responsive while we solve the problem.
Services
Databricks, Snowflake, and AI data engineering
From picking the platform to building it, tuning its cost, and growing the team that runs it — we cover the full analytics lifecycle.
Databricks Consulting
Lakehouse architecture, Unity Catalog, and Spark pipelines built for production.
- Lakehouse and medallion architecture on Delta Lake
- Unity Catalog governance and access control
- Spark job and DBU cost optimization
Snowflake Consulting
Snowflake implementation, dbt modeling, and credit cost optimization.
- Implementation and migration to Snowflake
- dbt modeling, testing, and CI/CD
- Warehouse sizing and credit cost optimization
AI Data Engineering
AI-ready data platforms, RAG pipelines, and analytics copilots in production.
- AI-ready data: unstructured ingestion and vector search
- RAG, NL-to-SQL, and analytics copilots
- Evaluation, guardrails, and cost control
Cloud Data Platforms
Architect and build cloud data platforms that scale to petabytes.
- Platform architecture and reference design
- High-throughput batch and streaming ingestion
- Orchestration, CI/CD, and data observability
High-Performance Data Teams
Build, hire, and grow data teams that consistently ship.
- Hiring strategy and technical interviewing
- Onboarding, standards, and ways of working
- Upskilling and leadership coaching
Space Data Analytics
Analytics for space data — IoT, telemetry, and image recognition.
- Satellite and sensor telemetry pipelines
- Image recognition and computer vision
- Mission and operations dashboards
Start small
Fixed-scope assessments
Short engagements with a clear deliverable. Use one to de-risk a bigger decision before you commit budget.
2 weeks
Snowflake Cost Audit
We trace your Snowflake spend down to warehouse, query, and team, then give you a ranked list of fixes with the expected saving on each.
- Credit spend broken down by warehouse, workload, and team
- Ranked optimization backlog with estimated savings
- Quick wins applied during the engagement
2-3 weeks
Databricks Assessment
An architecture, governance, and cost review of your Databricks workspace, ending in a prioritized action plan you can execute with or without us.
- Lakehouse architecture and Unity Catalog review
- DBU cost baseline with tuning actions
- Prioritized roadmap with effort and impact
3 weeks
AI Readiness Assessment
We check whether your data can actually support the AI features you want, and tell you what has to be built first.
- Use-case shortlist scored on value and feasibility
- Gap analysis of your data, semantics, and governance
- Reference architecture and delivery plan for the first build
3-4 weeks
Platform Migration Plan
A migration plan you can budget against — target architecture, sequencing, cutover approach, risks, and cost.
- Target architecture with the trade-offs written down
- Phased migration plan and cutover runbook
- Cost model for the target platform
Engagement models
How we interact
The Pair-of-Hands Role
You leverage us as an extra pair of hands. You define the goals and the plan, retain full control, and we execute against it.
The Collaborative Role
Your domain knowledge meets our specialized skills. We don't just solve problems for you — we equip your team to solve them together.
Platforms we work with
Let's talk about your data platform
Tell us what you are working on. We reply within one business day, and we will tell you plainly if we are not the right fit.