2025–2026
Specs →
Backend & Data
Marketing Data Platform on BigQuery
ScaleCloud
Year2025–2026
About the project
An enterprise marketing data platform on Google BigQuery.
Problem and purpose
Data-driven marketing at enterprise scale needs one governed, secure data layer with fast analytical queries and controlled Google Cloud cost.
My role and responsibility
I built the data infrastructure on BigQuery: the governance and security policies, and the query and cost optimisation.
Architecture and key decisions
- Data governance and security policies with access-controlled data
- Analytical queries that return in under a second
- Partitioning and clustering to lower Google Cloud costs
- A governed data layer that AI and analytics features can depend on
Technologies
Google BigQuery, Google Cloud.
More projects
Software Architecture
Web platform
Message Management System CRM
Software ArchitectureBackend & DataAgile & ScrumDistributed Systems
2020
Specs →
Backend & Data
Web platform
Airline and Payment Integrations
Full StackBackend & DataDistributed Systems
2020–2021
Specs →