Cloud Data Migrations (Snowflake and beyond)
Move analytics and operational data to modern cloud platforms with reliability, governance, and cost/performance tuning.
Problem signals
- Legacy/on‑prem warehouse; freshness gaps; slow queries
- Schema sprawl; brittle pipelines; unclear lineage
- Rising costs without unit-economics visibility
Approach
- Inventory, lineage mapping, domain modeling
- Ingestion (Airbyte/Fivetran), transforms (dbt), orchestration (Dagster/Airflow)
- Data contracts, tests, SLOs; cost/perf tuning & governance
Deliverables
- Migration plan & domain roadmap
- dbt project skeleton(s) & code patterns
- Ingestion pipelines & orchestration jobs
Timeline
- Discovery: 1–2 weeks
- Pilot: 2–4 weeks (one domain)
- Phased rollout by domain
Success metrics
- Freshness SLO ≥ 99%
- Query latency 2–5× faster
- Cost/GB ↓ ~25%
Plan your migration with confidence.
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