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Contributing to security, quality, and fraud detection team overseeing development, CI/CD pipelines, on-calls, audits, and monitoring of the platform for millions of homeowners and professionals

Led architectural design for migrating risk analysis from legacy flow to third-party integration, authoring trade-off analyses and implementing feature-flagged shadow testing for safe rollout

Owned end-to-end fraud data observability project, building dbt models, Snowflake tables, and Looker dashboards while leading Lunch & Learn sessions for department adoption

Work with Java, Python, Spring Boot, Snowflake, dbt, Looker, Grafana, PagerDuty, AWS, Socure, Split, GitLab, Jenkins, and Argo

Contributing to multiple work streams within the order fulfillment and merchant management teams that service millions of customers and businesses

Headed design for Delivery as a Service (DaaS) integration with large third party provider, with frequent communication with third party developers and APIs

Became SME for over 10 micro-services, overseeing CI/CD, FMEAs, load testing, on-calls, and feature development

Researched, architected, and implemented solutions for problems of various levels such as automated merchant attrition, menu ingestion optimization, and order processing EDA migration

Work with AWS, Java, Spring Boot, Python, Splunk, Github, Gradle, Jenkins, Cassandra, SQL, Postman, Datadog, PagerDuty, and Bash

Developed microservices that process financial data from internal facing tools to transform and store data into automated reports by utilizing cloud platforms for storage, security and scalability

Integrated stored procedures and logging capabilities in order to track auditing adjustments and error handling

Utilized Microsoft Azure, Microsoft SQL Server, Java Spring Boot, Java Persistence API, Hibernate, and worked in parallel with front end developers to create and optimize newly functional tool which simplifies adjustments and provides additional logging