2023-2024•production
Multi-Cloud Data Platform
Multi-cloud
Data platform
Reliability
Cost optimization
Cloud-agnostic data platform architecture to onboard large ISPs on GCP while maintaining AWS parity.
## Context
We needed to onboard large ISP customers on GCP while keeping the existing AWS platform reliable and consistent. The platform had to be cloud-agnostic without breaking existing pipelines.
## Constraints
- Zero downtime migration for critical data flows.
- Different cloud primitives and cost models.
- High throughput ingestion and strict data quality expectations.
## What I built
- Multi-cloud architecture and deployment strategy for the data platform.
- Migration paths for streaming and batch workloads.
- Governance and reliability guardrails to keep parity across clouds.
## Impact
- Enabled onboarding for ISPs with 15M customers.
- Reduced infrastructure cost by 30%.
- Cut data quality issues by 50%.
## Stack
GCP and AWS, streaming pipelines, and platform-level abstractions for portability.
Mission Brief
The Problem
New ISP customers required GCP, but the platform was AWS-native.
The Solution
A multi-cloud platform that preserved AWS parity while onboarding ISPs on GCP at scale.








