MBVYN

Consulting

Mykola Bohdan Vynnytskyi
65%reduction in cloud infrastructure costs after optimization
100+clients and teams supported

I help businesses build, optimize, and scale modern data platforms — ready for analytics, machine learning, and GenAI workloads — balancing technical excellence with business and financial goals.

FIND THE RIGHT CONSULTING FORMAT

Book a quick call to discuss the details and get a quote.

Data platform from scratch

For companies starting their data journey — building scalable, AI-ready analytics platforms from day one.

PlanBEST FOR NEW DATA TEAMS
  • Business analysis and data strategy roadmap
  • Cloud architecture design: data lakehouse, warehouse, streaming, AI layer
  • Modern stack selection: Azure, AWS, Snowflake, Databricks, dbt, Airflow, Fabric
  • PoC, MVP implementation, and production rollout
  • Documentation, handover, and ongoing support

1:1 Architecture consultation

For CTOs, engineering leads, and data teams who need expert architecture review, stack validation, or a fast second opinion.

PlanBEST FOR QUICK EXPERT ADVICE
  • 60-minute 1:1 online session with a senior data architect
  • Independent architecture review and stack trade-off analysis
  • AI, ML, and GenAI integration feasibility and design advice
  • Actionable recommendations, patterns, and best practices
  • Written follow-up with clear next steps
Popular

Platform optimization

For companies with an existing data platform that is slow, expensive, or not ready to scale for analytics and AI workloads.

PlanBEST FOR EXISTING PLATFORMS
  • Full architecture and data pipeline audit
  • Bottleneck analysis: cloud costs, query latency, data fragmentation
  • FinOps strategies to reduce Snowflake, Databricks, and cloud spend
  • Performance tuning and code review with your engineering team
  • Scaling roadmap and AI-readiness assessment

Project firefighting

For urgent production incidents, broken pipelines, and data platforms that are losing the team's confidence.

PlanBEST FOR URGENT TECHNICAL ISSUES
  • Rapid triage of production data incidents
  • Root cause analysis: pipelines, data quality, outages
  • Quick-fix vs long-term resolution options
  • Hands-on debugging with your engineering team
  • Post-incident review and prevention roadmap

Ready to move forward?

Let’s discuss your goals and find the right mentorship or consulting format for your needs.