Work directly with a certified practitioner who has delivered 15+ cloud data-engineering projects — migrations and greenfield builds — over the last five years. You get senior architecture turned into measurable business impact, not hand-offs to juniors or theory decks.
End-to-end data and AI services designed for enterprise scale and complexity.
Architecture design, performance tuning, warehouse optimization, cost governance, and migration from legacy systems.
Migrate from Hadoop, on-prem Spark, or other platforms to Databricks with zero downtime and validated data quality.
Deploy AI models directly in Snowflake using Cortex. From LLM-powered analytics to predictive models in production.
Design lakehouse architectures, data mesh implementations, and modern data stacks using dbt, Airflow, and Terraform.
Reduce Snowflake and cloud spend by 30-50% through warehouse right-sizing, query optimization, and governance.
Implement access controls, data classification, lineage tracking, and compliance frameworks for enterprise data.
Most clients start with one of these. Fixed scope, clear deliverables, defined timeline — no open-ended hourly billing.
We walk your current Snowflake or Databricks stack and hand you a prioritized 90-day roadmap for migration, optimization, or a new build. No cost, no obligation.
Book a Review →A focused FinOps engagement — query and warehouse audit, right-sizing, resource monitors, and a chargeback dashboard. Typically targets 30–50% spend reduction.
Scope a Sprint →Oracle/legacy-to-Snowflake or on-prem-to-Databricks, run in waves with automated reconciliation to the cent. Proven patterns cut typical timelines 40–60%.
See the Approach →We design and stand up a governed, FinOps-aware platform (IaC, CI/CD, RBAC, tagging) and co-run it — while your team levels up to fully own it.
Discuss a Build →A proven 4-phase methodology that ensures on-time, on-budget delivery with zero disruption.
Assess your current data landscape, identify gaps, and define success metrics with stakeholders.
Architect the target state — data models, pipelines, security, and governance — with full documentation.
Build and deploy in agile sprints with continuous testing, validation, and stakeholder demos.
Knowledge transfer, monitoring setup, and ongoing optimization to ensure long-term value.
Senior expertise, start to finish
When you engage SnowbrixAI you work directly with Amit Koti — a SnowPro Core and 2× Databricks–certified architect with 20+ years building enterprise data platforms. Not a sales team, not a bench of juniors learning on your budget.
The same depth that goes into our courses goes into every engagement: current, hands-on, and grounded in real production patterns. We teach what we build — so the recommendations you get are the ones we would implement ourselves.