· Created custom data pipelines with Spring Cloud Dataflow on Pivotal Cloud Foundry. Pipelines all consist of custom Spring Boot applications using TDD, agile methodologies and pair programming with client developers. Optimized data sinking by incorporating Spring Batch into tasks using threads to sink data into multiple destinations in parallel. Created custom Spring Boot Spark job that converts raw data into Avro format for Data Scientist ingestion optimization. All applications written in Java using Spring Framework, continuous integration using Cloudbees Jenkins (with gradle / maven builds), and continuous deployment using Pivotal Concourse. Github used for source code version control.· Migrated legacy C++ data deduplication engine to Spark 2.1.0. The engine itself could not scale past a certain threshold so the migration was necessary. Bottlenecks consisted of integrating engine library with YARN on each data node for engine instantiation and code optimization refactoring. Successfully improved deduplication performance by 10x. Technologies used include Hadoop 2.7.3/YARN, Spark 2.1.0, Docker, Java8, git, and maven.· Developed retail website chatbot using Conversation which is part of the IBM Watson API family. Technologies used included Python, django, docker/docker-compose, postgres, and Conversation. Github was used for version control with docker and Cloud Foundry for app deployment.

● Extensive experience with Spark + Scala and creating scalable data science platforms.● Experience in many Machine Learning algorithms -- primarily CART (Random Forest and GBT's), and deep learning neural networks. ● Developed Spark Streaming application utilizing Spark ML and Random Forest to calculate destinations for both ad-hoc data and streaming data, including model creation and preservation. All work done in Scala.● Experienced with development/deploying using Cloud Foundry.● Developed web applications using Spring boot, Spring web, and Thymeleaf● Extensive experience with Spring Cloud Dataflow creating end-to-end data pipelines. Most recently pairing Spark 2.0 with Dataflow to stream incoming predictions using MLlib (Binary Logistic Regression) and the Dataflow pmml boot app, finally displaying results on a custom Spring boot/web dashboard display.● Trained developers how to create scalable Spring XD streaming solutions for large real time vehicle tracking platform.● AWS Certified and experience with Microsoft Azure.

● Expert in all aspects of installation, configuration, and maintenance of Greenplum Database, Pivotal Gemfire, and Pivotal Hadoop clusters both virtually and physically.● Specialize in Python, Groovy, Java, and R. ● Extremely knowledgeable in many Hadoop ecosystem components – Ambari, Yarn, MapReduce, Pig, Pivotal HAWQ, Apache Drill, HBase, Hive, Zookeeper, Pivotal Spring-XD, Apache Flume, Sqoop, and more.● Expert in data ingestion and export using Spring-XD. Everything from direct transporting to ETL / validation definitions using custom trigger shell scripts coupled with python, groovy, or perl transformation scripts using shell processor modules. Most recently developed a large Internet of Things project (IoT) which tracks vehicles in real-time with Spring-XD as a backbone for data transport / validation / transformation, and where Greenplum and Gemfire were ingestion sinks.● Training incoming employees in all aspects of Greenplum Database and Pivotal Hadoop. Provideongoing assistance and support throughout onboarding process.● Expert in Vagrant Virtualbox operating system emulation, configuration, installation and provisioning. Expert in Packer virtual image creation, including custom provisioning and scripting. Builds include Virtual Box, VMware, Hyper-V, and AWS. Most current build is an automated single node installation of Greenplum Database on CentOS 6.5 that builds an AWS AMI used to as a base for our Cloud Training Portal instances. Further, creation of the zData Inc. analytics sandbox which features Greenplum + MADlib + Spring-XD for small analytics projects and POC's.

Mathematics Instructor.● Spring 2015: PreCalculus (MAC 1140)● Fall 2014: Methods of Calclus (MAC 2233)

Converted network of servers from Windows NT to Linux. Trained employees how to use Linux and equivalent applications that were previously used through Windows NT. Perl and java scripting.

Intern Position when I was 14 years old. I developed an installation CD for RMCI Internet Services for customers to utilize in order to configure their internet service. Javascript.