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Sebastian Group
Advisor specialty

Data Engineer

Builds the pipelines and tables that feed reporting, analytics and AI with clean, current data.

This describes a type of expertise, not a specific person. Ask us and we will tell you who in our network fits your initiative.

Problems solved

  • Data sits in separate systems, so no one sees the full picture: one connected view of orders, production and supply.
  • Legacy warehouses are slow, costly and hard to change: a scalable platform that serves analytics and AI.
  • Unplanned downtime and process drift hurt output: earlier warnings and steadier processes.

Typical deliverables

  • Hands-on build, tested and handed over to your team
Platforms
Snowflake, Databricks, Microsoft Azure, Google Cloud, Amazon Web Services
Examples only. Not every specialist uses every platform.
Engagement type
Implementation
Selection criteria
Suggested: 5 to 8 years of relevant hands-on experience.
A guideline, not proof of seniority.