Jake Gale Email & Phone Number

Remote First, Us

Lead Asset Ratings & Reviews from design to release, and multiple overhaul iterations. The feature allows user to leave and aggregate star ratings for digital assets. It is a highly scalable platform supporting over 35,000rpm. Users exposed to the product showed more days active, and increased trading patterns.Drove a number of experimental features supporting including a social graph for social interactions, a translations library for uniform service-level internationalization, and live asset price display.Mentored multiple interns, apprentices, and junior members of the team, supporting multiple return offers for the former.

Remote First, Us

San Francisco, California, Us

Oversaw a mass data migration from our legacy system to new product using Spark clusters in Databricks.

San Francisco, California, Us

- Experienced in agile - Scrum master for team- Developed multiple distributed microservices for processing thousands of units of HIPAA compliant medical data daily- Built complex greenfield products, owning the design, architecture, implementation, deployment and maintenance stages- Part of the design and implementation of a Java based pipeline for medical data, which is now a major part of the company's bidding proposals, and is projected to directly save the company ~ $5m/y through reduced license fees and reduced man hours through automation- Spring Integrations: Cloud Stream, Discovery, Hibernate, Kubernetes, Boot, AWS, Vault- Messaging: RabbitMQ, SQS- Persistence: Postgres, H2, RDS, DynamoDB- CI/CD: Jenkins, Kubernetes, Cloudbees

Emeryville, Ca, Us

Co-anchor engineer for Lead Management team. - Managed technical expectations with Corporate and Brand CoEs - Roadmapped quarterly plans with Project Management- Migrated Monolithic deployment to Microservice architecture, greatly improving maintainability, adaptability, and reliability- Upgraded one of the most frequently run and fragile processes in the company's codebase to be stable, maintainable, and with a 0% recurring error rate - down from ~5%

Emeryville, Ca, Us

Integrations engineer consolidating multiple in-house and external platforms and data for both Real-Estate agents and consumers. Implementing and writing proprietary business logic to accurately handle the real estate transaction from first interest to sale.- Held ownership over microservice architecture for lead management.- Managed a capable intern during the Zaplabs intern program - Summer 2017.- Won internal hackathon with an mvp voice controlled native app using aws lambda and lex- Dynamic Oracle query optimizationMicroservices - Oracle PL/SQL - Jenkins - Java 9 - Spring/Hibernate - Maven - MVC - ReSTful APIs - Dropwizard

Brighton, Gb

Developed a proprietary backend system in Python for the next phase of our online testing,leveraging MongoDB, Django & PandasDeveloped proprietary software using the Python PIL image library for image manipulation as well as manage a team of two interns training them in experiment procedure and other workplace tasksLead lab based experiments and representing the business with PR clientele; often found myself on camera.Python 3 - MongoDB/PyMongo - Django - Pandas - PIL

Falmer, East Sussex, Gb

Member of a team of widely skilled graduates from the University of Sussex offering business support to local small companies to catalyse growth. The catalyst scheme was a fast paced career development scheme that has put me on projects involving academic research, content creation, and marketing, whilst working closely with the managing directors of many rapidly growing business and being a direct player in that growth.

Gb

Designed workshops and presentations on Physics topics engaging high school students into further education and careers in Physics and Science.

Englefield Green, England, Gb

Conducted diagnostics on a Beam Position Monitor for installation at the FETS particle accelerator. Over the course of the placement I developed a number of Python modules designed for signal processing, simulating waves, and analysing very large sets of data.Work published in Sep 2015 IBIC 2015 Melbourne, Australia