Most client details are under NDA, so this page uses representative examples. The pattern is consistent: legacy systems, regulated teams, hard timelines, and production outcomes that need to hold up after launch.
Decomposed a fifteen-year-old payments monolith into a fleet of Spring Boot microservices on Kubernetes, ran them in parallel with the legacy system through a strangler-fig migration, and cut release cycles from monthly batch windows to multiple safe daily deployments. Zero customer-facing incidents during the cutover.
Unified claims, policy, and billing on a Databricks lakehouse with auditable lineage; reporting latency dropped from days to minutes.
Public-facing reporting service with AODA accessibility, auditable data lineage, and a content workflow the program team runs themselves.
Designed the target-state data architecture for a wealth-management division and delivered the first two domains end-to-end.
Greenfield API platform on Kubernetes with full IaC, GitOps delivery, and an SLO-driven observability stack.
Replaced a legacy citizen-services portal with a modern, accessible, multi-tenant service shared across departments.
Integration layer between a Canadian debit network and a portfolio of merchant clients, with end-to-end audit trails.
Rebuilt a campaign-analytics platform from scratch, replacing a fragile ETL stack with a streaming pipeline and a self-serve BI layer.
Refactored a directory search platform onto a modern indexing stack; query latency cut by an order of magnitude.
Tell us the system, the timeline, and the outcome. We'll come back with a candid view in a few business days.