Christiana Bakare-Abiola

Designed and maintained Java-based API and integration test frameworks using REST Assured, JUnit, Cucumber, and Spring Boot, boosting functional coverage to over 90% across critical service workflows.

Architected and deployed an automation framework replacing unstable legacy suites, expanding frontend regression coverage from 0% to 60-70% within automated CI/CD release pipelines.

Constructed automated UI screenshot capture and evidence reporting pipelines, drastically decreasing manual verification cycles and empowering product teams during high-stakes client acquisition demos.

Engineered reusable automation patterns adopted as engineering standards across adjacent teams to validate data transformations in customer-facing interfaces.

Validated synchronous and asynchronous microservices by publishing and asserting Kafka messages, message schemas, and NiFi consumer workflows with custom polling and wait strategies.

Spearheaded technical quality culture through code reviews, pair programming, and mentoring junior engineers, while directing performance testing PoCs using Gatling and Locust.

Pioneered the 'science of space' methodology, integrating environmental psychology, circadian biology, neuroaesthetics, material science, and biophilic design to enhance occupant wellbeing and property valuation.

Led full-service delivery for high-value residential developments, including spatial planning, finishes specification, 3D visualisations, animated walkthroughs, and construction documentation.

Designed custom residential models (e.g., Project Bancroft in Orlando) that sold off-plan at 10% above asking price and resulted in licensed design packages across subsequent client builds.

Provided bespoke buyer consultations and design packages for luxury model homes (Project Cali Dream, Project Coastal Retreat), driving buyer satisfaction and upsells in finishes and upgrades.

Scaled studio operations from independent consulting into an incorporated business, managing client acquisition and retention, vendor relationships, and client milestone delivery.

Designed and implemented ingestion and transformation of microservices test outputs into Databricks Bronze, Silver and Gold layers using Python, Pandas and PySpark for engineering quality dashboards.

Created reusable transformations and validation stages covering timing validity, missing execution fields and row-count checks; quarantined data outside agreed retention or input rules before downstream processing.

Investigated an OpenSearch pipeline failure caused by a 90-day source-retention boundary, an environment filter excluding valid logs, and a filename parser rejecting legitimate datasets; traced issues through ingestion and refined validation logic.

Evaluated orchestration options and replaced a planned AWS MWAA deployment with native Databricks scheduling and email subscriptions, reducing unnecessary infrastructure complexity and cost exposure.

Implemented a weekly unattended refresh and verified successful scheduled execution and delivery following ingestion fixes.

Gathered requirements from quality engineers, data analysts and scientists, product and architecture stakeholders; documented design trade-offs and aligned shared Silver-layer quality controls with reporting needs.

Applied an AI-assisted, spec-first workflow to draft and refine requirements while independently validating code, assumptions and tests.