On-prem to cloud
AWS · GCP · Azure · Databricks · Snowflake · dbt
Agentic Migrations
On-prem to cloud, cross-cloud and tool-to-tool migrations, made faster through agents.
Migrating a data estate means re-working large volumes of legacy code and pipelines while keeping security, coding standards and cloud cost under control. Done by hand, it is slow, repetitive and hard to keep consistent.
AWS · GCP · Azure · Databricks · Snowflake · dbt
Moving workloads from one cloud platform to another
Re-platforming from one data tool to another
Security controls built into the migration workflow.
Consistent, standards-aligned output across the estate.
Intelligent token management and cost optimisation for LLM usage.
Agents work from the context of the source system before converting it.
Skills and capabilities built once and reused across agentic workflows.
Repeatable runbooks, checklists and validation for pipelines and migrations.
Review steps for code, pipelines and tests, with human sign-off wherever it's required.
Lineage drives impact analysis and the safe decommissioning of unused assets.
We complement your governance stack and follow your security and access policies.
Starter engagement
Our fixed-scope accelerator is the simplest way to start. It applies our agentic frameworks to one use case, migration slice or pipeline: proving value before a larger commitment, with a working result on a defined scope.
Scope is agreed together after a 15-minute call.
For Snowflake, Databricks and dbt migrations for teams in the US, the UK, India, Australia, the Middle East and Southeast Asia.
AW Rostamani · Mondelez · Inmar · Spin Master
Client names refer to programmes led or delivered by Soamiq's founder, including in prior roles. They are shared for reference only and do not imply endorsement.
Bring one data, agentic AI or governance requirement, and we will map it to the right engagement model.
hello@soamiq.ai · +91-9599654303 · We reply within 1 business day.