Dvij Patel Email & Phone Number

Santa Clara, California, United States

• Focused on backend development, support and maintenance for the Oracle Cloud Infrastructure Classic - Compute Images team using Python, Oracle Cloud Infrastructure (OCI), Jenkins, Hudson, Docker, chef and internal tools.• Reduced compute images security scans runtime by more than 2/3 by efficiently creating a single instance that can run multiple types of scans.• Created metrics generation script for CPU and memory usage for groups of processes, that are emitted to the monitoring system for visual analysis; Alarms were created to alert any drastic changes in CPU and mem usage.• Created scripts and a pipeline to automate building any compute image using server owned by Compute Images team, resulting in much more flexibility and efficiency for modifying, patching, and releasing new compute images.• Implemented various diagnostics that caught issues with unreachable Higgs Gateways 100% of the time, as well as active node reporting inconsistencies between 2 different reporting mechanisms.• Implemented feature to cut JIRA tickets for Sherlock repository with an auto-page label which would be picked up by OCEAN pager app in order to page on-call engineer.

San Francisco Bay Area

• Focused on backend engineering for the Analytics team for a Data Science and Technology driven software used to measure the impact of Public Relations.• Technologies used include Ruby on Rails, Sidekiq, Elastic Search, Hirefire, Amazon S3, Sumo Logic, RSpec and Heroku.• Helped with designing and integrating a new visitor estimation api into the analytics pipeline which simplified the codebase, mitigated errors, and made the pipeline more maintainable.• Enhanced cookie visitor tracking to be compatible with Adobe’s new Marketing Cloud Visitor Id with backwards compatibility which enabled visitors to be tracked for our customers using legacy Adobe Analytics as well as Adobe Experience Cloud.• Enhanced event tracking from Google Analytics to be able to track both Event Actions and Event Labels (implemented changes in the frontend as well).• Implemented filtering by Google Analytics “Account Id” on the Analytics Integration Page for Customer Success Managers to easily integrate the customer profile to their Google Analytics view (included frontend changes)• Enhanced python Plot.ly dashboards to query certain fields from Elastic Search instead of MySQL which cut the loading and rendering time to about 1/10 (included frontend changes)

Vancouver, Canada Area

o Focused on frontend and backend designing, coding, testing, and quality assurance of data integration for SAP Analytics Cloud (formerly known as Business Objects Cloud) using ECMA 5/6 (Javascript), XSJSLib, HTML, CSS, SAPUI5, and SAP HANA.o Implemented a Queue Manager to synchronize frontend/backend requests which resulted in a 100% reduction for read/write collision errors. o Improved performance of column mapping inference by 87% and enhanced the feature to use various algorithms (e.g. Levenshtein) to accommodate automatic mapping of columns to dimensions and properties in the model; covering all commonly used dataset types and models.o Implemented an aggregation/rejection of measures feature for importing data into an existing model where the rows being imported already exist in the model.o Implemented Scope Replacement feature which allows a user to filter data that will be passed into the model, replacing any rows with duplicate dimension values with the new data the user is trying to import.o Revolutionized column mapping in import data from file workflow by introducing column mapping through drag and droppable cards, enhancing the user experience and making column mapping a more efficient process. Technologies involved include Deku, Javascript (ES6), HTML, CSS, XSJSLibo Redesigned the graphical user interface for SAP Analytics Cloud introducing a completely new theme to the product. Extensive knowledge on frontend web development technologies was utilized to modify controls, fonts, layouts and colors of the product.

o Managed several government websites (LearningCOMM, newsroom stats/contributions/subs) -Cleared bugs, issues and implemented new featureso Optimized code to parse data more efficiently leading to a reduction in runtime by over 3400%. o Translated Newsroom Contributions website from PHP to Ruby on Rails.o Set up Ubuntu web servers on VirtualBox