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Service 07 · Multi-Cloud & FinOps

Cloud Data Solutions

AWS, GCP, and Azure data platforms — migration, multi-cloud strategy, and FinOps governance that has saved clients $100K+ annually with zero lock-in design.

Clouds
AWS · GCP · Azure
Proven Result
62% TCO reduction
Savings
$100K+ annually
Regions Served
India · EU · APAC · MENA · US
What's Included

Engagement Scope

AWS Data Services

  • S3 Data Lake with Glue Catalog
  • EMR for large-scale Spark clusters
  • Redshift & Redshift Serverless
  • Kinesis & MSK (Managed Kafka)
  • Athena serverless query layer

GCP Data Stack

  • BigQuery serverless & reservations
  • Dataflow (Apache Beam) pipelines
  • Pub/Sub event streaming
  • Cloud Composer (managed Airflow)
  • Cloud Functions for event triggers

Azure Platform

  • Azure Data Factory (ADF) pipelines
  • Synapse Analytics workspaces
  • Azure Databricks clusters
  • ADLS Gen2 hierarchical storage
  • Event Hubs & Stream Analytics

FinOps & Cost Control

  • Reserved vs on-demand capacity planning
  • Auto-scaling & spot instance strategies
  • Data lifecycle tiering policies
  • Tagging & cost attribution dashboards
  • 62% TCO reduction delivered in prod
Proven In Production

Measured Results

62%
TCO reduction
delivered in production
$100K+
Annual savings
FinOps governance
3
Continents served
follow-the-sun delivery
Evidence

Related Case Studies

Questions, Answered

Frequently Asked Questions

AWS vs GCP vs Azure for data platforms — how do you choose?
GCP (BigQuery) leads for serverless analytics simplicity; AWS has the deepest service breadth and enterprise footprint; Azure wins where Microsoft licensing and AD integration dominate. We hold production experience in all three and score the decision on your workloads, team skills, and existing commitments.
How do you avoid cloud vendor lock-in?
Open table formats (Iceberg, Delta), portable transformation (dbt, Spark), infrastructure-as-code, and clean separation between storage and compute. You will still use native services where they pay — lock-in is a cost-benefit decision we make explicit, not an accident.
What does a cloud data migration cost?
Engagements typically run from $25K for a focused single-warehouse migration to $150K+ for multi-source platform builds. The recurring win matters more: our flagship migration cut total cost of ownership 62% and saves $125K every year.
What is FinOps and why is it built into your designs?
FinOps is engineering accountability for cloud spend: tagging, attribution, budgets, and architectural choices priced before they ship. Bolted-on cost reviews recover pennies; designed-in FinOps changed one client's economics by 62%.
Can you operate across regions and compliance regimes?
Yes — we deliver from India, Ireland, Australia, UAE, and Thailand, serving clients across North America, Europe, the Middle East, and Asia-Pacific with GDPR, DPDP, and HIPAA-aware architectures and follow-the-sun support.
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