Santiago Martin Zubieta-Ortiz

* Engagement Alliance, Loyalty Engine * Stack: Golang, Kafka, PostgreSQL, Docker, Kubernetes, AWS, Databricks, Python, Airflow

* Core Platform: End to end design, development, and testing, of distributed systems for domains such as user/account management, payments, billing, KYC/compliance, authentication, notifications, webhooks, access control, and security. * Stack: Kotlin, Java, Spring Boot, PostgreSQL, Docker, Kubernetes, GCP, GCS, PubSub, OpenAPI, Stripe, CircleCI, Grafana, JUnit, Mockito, Mockk, Compliance Catalyst

* ML+Engineering team, creating services, workflows, end to end tests, data pipelines, and integrating models for recommendations, send time optimization, sequence optimization, measuring production performance with A/B tests * Design, implementation, testing of a Java service to integrate Reinforcement Learning into marketing pipeline, reducing emails sent by 50%, reducing unsubscriptions, without impacting conversion * Stack: Java 8, Perl, Python, PySpark, Jupyter, MySQL, Cassandra, Hive, Kafka, Oozie

* Google Fiber: Design and implementation of a backend/frontend test suite and infra. * Used Dart, WebDriver, Bash, and internal tools for communication, testing, and deploying. * Reduced flakiness in tests coming from previously unidentified factors, and saved more than 50% time per run.

* Nomad Simulator: Development of a tool based on Hashicorp's Nomad distributed system scheduler tool. * Used Go for creating a simulator with the scheduler software, and P5.JS with JQuery for making a web browser visualizer of the simulator internal state with scheduling metrics, to evaluate the scheduler's performance. * Presented at Medellin DevOps meetup on March 2016.

* Google Play Movies: Design and implementation of a movie studio information system. * Used Go, GRPC, Spanner, and other internal tools, for developing the API, unit tests, database schema, and system interaction for plugging this into previously existing architecture and replacing deprecated systems.