Reduced mean-time-to-detect and mean-time-to-recover for checkout incidents by 80% by implementing flow-based monitoring metrics, improving reliability across payment flows processing $500B+ TPV annually.

Partnered with product management to deliver checkout enhancements and optimize error handling, improving resilience and user experience across payment flows.

Drove reliable releases and incident management by coordinating multi-component deployments, and leading critical issue triage; documented root causes and standardized playbooks to improve organizational resilience.

Promoted engineering excellence by developing a GitHub PR dashboard to monitor outstanding reviews, streamlining code hygiene practices, and mentoring junior engineers across multiple global teams

Led architectural reviews of legacy applications to provide more reliable and consistent support to our stakeholders and eliminate technical debt

Coordinated with back-end team to quickly resolve log4j zero-day vulnerability in legacy Java applications

Led efforts to debug, troubleshoot, and roll out fixes for issues experienced by Home Depot scanners by coordinating with Datalogic engineers.

Implemented GitHub Actions across all repositories to streamline unit testing, as well as code quality and security scans

Mentored and coached junior engineers through weekly grooming sessions, constructive code reviews, and individual check-ins

Created machine-learning model to predict which store shelves will need to be packed down using sales and inventory data

Revamped and reengineered our customer management microservice for increased performance and reliability with a Cassandra NoSQL persistence and SOLR indexing

Practiced test-driven development, creating over 500 unit tests and continuously writing and running integration tests with Cypress

Coordinated with UX Architect and Project Manager to develop new features in order to provide a conducive and streamlined user interface for customers and store associates

Integrated infrastructure with robust metrics software frameworks to gather performance and benchmark data relating to Kafka’s stability and performance

Periodically took on after-hours support role to troubleshoot and debug any and all overnight production issues, as well as perform weekly production maintenance

Promoted inner-sourcing and talent development by giving seminars on variety of subjects, creating pull-requests for other teams’ codebase to integrate seamlessly with ours, and opened our infrastructure to the organization

Monitor Slack channel to actively provide assistance to other advisors and answer technical questions

Review projects submitted by learners and provide clear, actionable feedback in a timely manner

Enroll and participate in Pro-Intensive cohorts to gain deeper understanding of course material as well as training.

Automated contract management auditing process to detect data quality issues and built verification analysis and data visualization process

Incorporated Collibra Data Governance tool to build Enterprise Business Glossary to account for undocumented metadata and online metrics register

Expanded on several existing Data Flow Diagrams by creating a new level containing information regarding NCR business system for partners