Verified outcomes in production. Context, trade-offs & baselines.

Context & Constraints

National multi-unit food service and retail group with workloads spread across Azure and GCP. The bill did not show what each application cost, which made it impossible to decide where to cut.

Architecture & Trade-offs

Architecture review on both clouds, cost categorization by application and database right-sizing. Financial governance became part of the team’s engineering standard.

Auditable Outcome

50% reduction in cloud costs compared with the period before the project. Absolute values withheld for confidentiality.

Transferable Principle: Cloud costs only fall sustainably when every application has an owner and cost becomes part of the engineering routine.

Context & Constraints

Recurring outages in billing and dispatch services stalled factory floor logistics during peak hours. Incident triage relied on scattered manual server logs.

Architecture & Trade-offs

Deployed unified telemetry (metrics, logs, traces), circuit breakers around ERP integrations, database read replicas, and automated health-check recovery.

Auditable Outcome

95% historical availability over the prior 6 months. Stabilized at 99.99% uptime with a 70% drop in production incidents.

Transferable Principle: Reliability improves when alerts track real operational bottlenecks before dispatch queues come to a halt.

Context & Constraints

Manual release windows every three weeks caused merge bottlenecks, production regressions, and hesitation to ship critical improvements.

Architecture & Trade-offs

Standardized CI/CD pipelines with automated quality gates, Terraform infrastructure as code, ephemeral preview environments, and canary releases.

Auditable Outcome

21-day average lead time from commit to production with 30% test coverage on core flows. Cut to 2 days with 85% automated coverage.

Transferable Principle: Shrinking batch size is the safest way to accelerate product delivery while reducing engineering stress.

Context & Constraints

Clinical and financial reporting took up to seven days to consolidate due to heavy overnight batch jobs and duplicated analytical storage.

Architecture & Trade-offs

Re-architected into Bronze, Silver, and Gold Lakehouse layers with incremental CDC ingestion, smart partitioning, and decommissioning of redundant clusters.

Auditable Outcome

Monthly spend of R$ 320k/month on legacy data infrastructure, reduced to R$ 180k/month with real-time executive dashboards.

Transferable Principle: Clean data governance lowers storage spend while giving leadership live operational visibility.

Context & Constraints

A heavy industrial and logistics operation lacked real-time fueling traceability across trucks, operators, and work fronts. Manual paper logs meant leadership only spotted anomalies weeks after monthly accounting closed.

Architecture & Trade-offs

Instead of waiting 12 months for an expensive proprietary onboard hardware rollout, I engineered a lean field-capture workflow using auditable QR Codes at fueling stations, odometer/hour-meter validation rules, a normalized SQL pipeline, and daily Power BI variance dashboards.

Auditable Outcome

Verified 20% drop in fleet fuel consumption within 90 days, saving 20,000 liters of diesel per month with full project payback in under 6 months.

Transferable Principle: Pragmatic data capture right where operational spend happens beats over-engineered hardware rollouts that take a year to ship.