Joe Devine Email & Phone Number

Boston, Ma, Us

Us

Designing infrastructure around Azure OpenAI offerings to enable enterprise

Us

Graph Database Engineer - includes analyzing, modeling, etl design, api design, and internal tooling on TigerGraph database platform. Connecting data between many domains across the enterprise to gain insights into all forms of healthcare data. Spark, Kafka, Docker, Kubernetes, Scala, Graph, GSQL, ElasticSearch

Us

Us

Full stack developer on multiple teams building applications utilizing big data pipelines. • Built front end angular 5 apps with spring boot api's to connect with hive and mongoDB tables• Deployed applications to OpenShift environment using Docker to containerize the apps• Used DevOps principles for code and deployment using Jenkins for CI/CD• Developed spark ETL pipelines to aggregate insightful data from the data lake

Us

TDP Rotational ProgramBig Data Validation Engine • Worked on team developing a metadata driven validation engine powered by Apache Spark (Scala)• Analyzed data quality and created visualization of reports using Apache Zeppelin Notebook• Developed UI written in Javascript to create the JSON structured input for engineMetadata Driven ETL • Developed ETL engine in Apache Spark to enrich data based on the input selected from the metadata• Experience building out Scalatest Framework to ensure quality development cycle• Experience developing CI/CD pipeline using Jenkins to run test framework and deploy engine to edge nodeAll teams work with Agile Scrum - Sprint Based Approach to Development

Us

• Gained experience developing a front end application using AngularJS, HTML, and CSS• Worked with Spring API's to manipulate JSON data to be used on the front end• Opportunity to present to Executives on a regular basis on the work the team had accomplished• Experience joining a team with Agile methodology, taking on different roles as Scrum Master and Developer over the course of the Internship

San Jose, Ca, Us

• Researched into Big Data and how it is processed via the Lambda Architecture• Provided in-depth report on how Lambda Architecture works with Big Data and how Real Time Streaming Engines are used to process some of this data in Real-Time• Set up two servers running Linux Ubuntu to allow Brocade to test and run the real time streaming engines• Provided a comparison between Apache Storm, Spark Streaming, and Tigon so that Brocade could see the pros and cons between them when deciding which to use on their platform