I set up and run infrastructure on GCP, AWS, Azure and VMware, and I treat cost as a metric to manage, not a bill to accept.
Proof from real projects
- Cut Google Cloud costs at ComDigital through BigQuery partitioning and clustering and compute optimization
- Built an enterprise marketing data platform on BigQuery with data governance, security policies and sub-second analytical queries
- Ran high-throughput BigQuery synchronization jobs and multi-cloud CI/CD at WorqCompany
- Infrastructure for public-sector data-center cabinets on VMware and Docker
How I work
I start with what the workload actually needs, measure usage and spend, and change the data layout or compute before adding capacity. Infrastructure is defined and released through pipelines, not by hand.