Data Science Software Developer
Resume:
Rob Smith
Seattle, Washington
*****.***@*****.***
Overview
Software developer who has worked in a variety of settings, from customer facing to back end, with a strong focus on data engineering and data science.
Experience
Classmates.com (Sep 2022-Dec 2022)
Software engineer
Working on providing server-side components to support multiple e-mail marketing efforts. Working both on generating mail to match marketing requirements and processing of responses. Java apps constructed using Spring Boot and deployed on AWS EC2.
Technologies: Java, Kafka, HBase, AWS
Sonos (Jun 2017-June 2022)
Member of the data engineering team. Responsible for building ETL flows bringing data from a variety of internal and external sources into our internal data environments, both SQL and Snowflake. Built tool for managing and monitoring internal deployment scripts.
ETL processes include data initially in a number of formats, such as JSON, XMK, CSV, SQL Tables, being written to SQL and Snowflake tables using tools such as Python data frames and DBT. Python application deployed to AWS Lambda using Docker container. ETLtasks include data cleansing and error handling. Dataset sizes up to millions of rows ingested per cycle.
Technologies: Python, C#, SQL, Snowflake, Docker, AWS
DS-IQ (Jul 2015-Apr 2017)
Member of data science team building approaches and algorithms for new products based on heterogeneous data feeds. Used ontology-based approach to structure data properties and reconcile diverse feeds. Developed entity-resolution algorithms based on multi-factor similarity (text similarity, distance separation, taxonomic indications.) Defined and built systems for incorporating data into Azure SQL Data Warehouse using a common data architecture to allow joining of diverse data sets.
Technologies: Java, C#, python, Neo4j/Cypher, SQL, Azure.
Amazon (Mar 2014-Mar 2015)
Software development engineer on the Amazon Dash - a shopping device for Amazon Fresh grocery services. Responsible for a variety of development tasks, including data analysis, Java server-side development, test creation and maintenance, operational responsibilities, and the implementation of natural language processing and machine learning algorithms. Strong focus on continuous deployment, and automated testing in an AWS. service-focused development environment.
Technologies: Java, NLP, AWS, TestNG, DynamoDB, Git.
Currently.am (July 2013-Dec 2013)
Development on http://currently.am/. Project used social media data analysis to build communities for outdoor enthusiasts. Startup development environment with a developer team of two people, so having to wear many hats, including - Python scripting to read and write data collection from social networks, interactions with statistical models for text data analysis, interactions with SQL and NoSQL (elasticsearch) databases, MVC 4.0 (C#) presentation of data for web pages, WCF presentation of data for consumption by planned iOS application.
ESPN (2007-2013)
Worked on a variety of ESPN mobile projects and products. Work included API feed development for iOS and Android applications (such as ESPN Bracket Bound and ESPN Scorecenter), mobile web development, server side data processing, and third party feed integration (such as StubHub ticket reselling.) Continual focus on new features and increased stability and performance.
UIEvolution (2001-2007)
Client-side developer for mobile apps on a variety of Java and BREW devices. Apps included ESPN projects (such as ESPN MVP and ESPN Bottomline) and apps for other clients (such as Square Enix ringtones and PGA Tour.)
Technical Skills
Languages: Java, Javascript, Python, C#
Cloud Platforms: AWS, Azure
Other: Docker. SQL, Snowflake
Education, Teaching and Research
University of Washington
Assistant Professor of Industrial Engineering (1993-2000)
Massachusetts Institute of Technology
Ph.D. in Operations Management
S.M. in Engineering
Stanford University
B.S. in Mechanical Engineering with distinction
Authored fourteen papers in top academic journals including Management Science, Research in Engineering Design, and IEEE Transactions on Engineering Management. Wrote textbook on Engineering Economics: Finance and Accounting.
Additional courses 2014-2015 on machine learning and data science topics.
Awards
Patent awarded for technical advances in sports data analysis and presentation. (#8,926,436)
ESPN MVP received a 2007 Technical Emmy nomination for “Outstanding Achievement in Advanced Media Technology for Best Use of Personal Media Display and Presentation Technology (PSP, Cell Phone, Personal Media Player, Mobile Devices)”
ESPN Mobile received the 2009 Webby for Sports.
Other
Former volunteer Firefighter/EMT with Snoqualmie Pass Fire and Rescue.
Member of King County Search and Rescue.
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