Michael Dey

Michael Dey Email and Phone Number

Staff Data Engineer @ Red Ventures
Austin, TX, US
Michael Dey's Location
Austin, Texas, United States, United States
Michael Dey's Contact Details

Michael Dey personal email

n/a
About Michael Dey

Professional data analysis engineer and versatile software developer offering knowledge, skill, and experience with database use and programming languages. A self-starter with strong problem-solving and communication skills and extensive knowledge in data science, mathematics, and engineering. Skilled in R, Shiny, Python, JavaScript, REST APIs, and SQL.Graduated with a BS in Mechanical Engineering from UT Austin in May 2013. Earning Masters in Computer Science and Engineering May 2019, Georgia Tech.

Michael Dey's Current Company Details
Red Ventures

Red Ventures

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Staff Data Engineer
Austin, TX, US
Website:
redventures.com
Employees:
2234
Michael Dey Work Experience Details
  • Red Ventures
    Staff Data Engineer
    Red Ventures
    Austin, Tx, Us
  • Red Ventures
    Data Engineer
    Red Ventures May 2021 - Present
    Fort Mill, Sc, Us
    Big Data ETL with spark, Scala, Databricks, Apache Airflow, and FlywayMigrated and rebuilt DAGs to the latest version of Airflow and streamlined backend Python functions and methodsAutomated flyway with Docker, ECS, ECR, CircleCI, and Terraform for the first time in company history while maintaining security between microservicesLed the automation, maintenance, and reporting from a Azure-hosted database on a Azure-hosted RDP and became primary contact with the company's joint venturePioneered automated data lineage with the Alation API and scheduled automation with airflow.
  • Slalom
    Senior Data Engineer
    Slalom Jan 2019 - May 2021
    Seattle, Wa, Us
    -Implemented data warehouse in AWS Redshift from client legacy system.-Lead development of data integration from application into data warehouse using AWS Kinesis, Lambda, and Redshift for real-time reporting.-Helped lead training course in machine learning to the Slalom Data and Analytics team.
  • Baker Hughes, A Ge Company
    Lead Data Engineer
    Baker Hughes, A Ge Company Nov 2017 - Jan 2019
    Houston, Texas, Us
    -Implemented RESTful API to collect daily commodity prices offering real-time data for accurate cost evaluation. -Devised an algorithm to consolidate product company material specifications resulting in cost savings by leveraging low cost materials that fit multiple applications-Established material database of over 32,000 unique industry standard material chemistries and mechanical properties for all cost out engineering team members.-Created machine learning models to classify materials and neural networks to establish labor cost estimates for products of complex geometry.-Developed R and Shiny applications to effectively present cost analysis of frequently purchased parts offering an advantage during cost negotiations. -Used data analytics to provide a cost basis to negotiate with suppliers, saving $76,000 Annually-Bridged purchase history data to a distributor’s database to establish cost benchmarks on commonly purchase products vs competitors, establishing a competitive advantage.-Trained contractors in R code optimization and helped improve code run time from 24 hours to under 30 minutes while saving memory.-Developed several Visual Basic scripts that drastically increased workplace efficiency.
  • Baker Hughes, A Ge Company
    Lead Data Analytics Engineer
    Baker Hughes, A Ge Company Nov 2017 - Jan 2019
    Houston, Texas, Us
  • Ge Oil & Gas
    Mechanical Component, Ge Oil And Gas
    Ge Oil & Gas Jun 2013 - Nov 2017
    “Should Cost” Program, GE Oil & Gas Jun 2013-Present -Developed software code to automatically calculate part cost given cost-driver data inputs-Used advanced statistics to provide a cost basis to negotiate with suppliers-Saved the company 9% within the first four months and 15% projected for 2017Taper Gauge Calculator, GE Oil & Gas Dec 2016 -Provided the correct taper gauge given part dimensions and technical requirements-Reduced search time among shop workers by 90% “Meal Calculator” Program, Personal Project Jan 2015-Present -Developed JavaScript code to automatically calculate the appropriate number of food servings to match desired macronutrients and print out the necessary grocery list-Achieved remarkable accuracy using self-made, non-negative least squares (NNLS) algorithm combined with vector algebra to provide rational, positive solutions-Incorporated code into HTML and CSS for a web-based application and made git repositoryNutrient Scraper, Personal Project June 2017-Present -Developed node script to successfully scrape nutritional information from a website and store the results into a SQL database.-Created server that ties all facets of the scraper together using node, SQL, REST, and MVC Mechanical Component Engineer Responsibilities -Develop and review technical specifications for electric motors, lube oil consoles, clutches, couplings, turbo-expanders, and variable frequency drives (VFDs) -Generate Piping and Instrumentation Diagrams (P&IDs) for seal, lube oil, and vibration systems associated with compressor packages. Create index for all valves, instrumentation, and equipment associated with the P&ID -Provide customer support for parts, repairs, and custom modifications and upgrades (CM&Us) Update drawings to fit latest standards while optimizing performance
  • Wayne, A Ge Energy Business
    Engineering Intern
    Wayne, A Ge Energy Business May 2012 - Aug 2012
    Worked with Production line to correct check valve production issuePerformed a root failure analysis, along with the use of Minitab to locate most variant partsDesigned a life cycle test for lift to start and flappersDeveloped a system of linkages to replicate customer use on pumps and was approved by ULWorked on team project to beta test Helix DispensersSuggested design changes based upon subassemblies, manufacturability, and assembly times
  • University Of Texas At Austin
    Department Tutor
    University Of Texas At Austin Sep 2009 - Sep 2011
    Meet with UT students and explain concepts in Physics, and CalculusOffer suggestions and guidance for effective study habits

Michael Dey Skills

R Data Science Python Machine Learning Engineering Mechanical Engineering Mathematics Engineering Design Algorithms Data Analysis Statistical Data Analysis Cost Control Software Development Data Warehousing Data Mining Matlab Java C++ Visual Basic Microsoft Office Javascript Cascading Style Sheets Html Json Sql Representational State Transfer Tensorflow Amazon Web Services Microsoft Excel Tableau Microsoft Powerpoint Microsoft Word Hadoop Scala Aws Lambda Linux Nosql Teaching Data Engineering Calculus Oil And Gas Document Object Model Strategic Data Analysis R Shiny Amazon Kinesis Amazon Redshift Amazon Elastic Mapreduce Amazon Ec2 Amazon Sqs Cloud Applications

Michael Dey Education Details

  • Georgia Institute Of Technology
    Georgia Institute Of Technology
    Computer Science & Mechanical Engineering
  • The University Of Texas At Austin
    The University Of Texas At Austin
    Mechanical Engineering
  • University Of Texas At Austin Cockrell School Of Engineering
    University Of Texas At Austin Cockrell School Of Engineering
    Mechanical Engineering
  • Madison High School
    Madison High School

Frequently Asked Questions about Michael Dey

What company does Michael Dey work for?

Michael Dey works for Red Ventures

What is Michael Dey's role at the current company?

Michael Dey's current role is Staff Data Engineer.

What is Michael Dey's email address?

Michael Dey's email address is mi****@****lom.com

What schools did Michael Dey attend?

Michael Dey attended Georgia Institute Of Technology, The University Of Texas At Austin, University Of Texas At Austin Cockrell School Of Engineering, Madison High School.

What are some of Michael Dey's interests?

Michael Dey has interest in Environment, Education, Motorcycles, Computer Games, Science And Technology, Fitness Weight Training, Human Rights.

What skills is Michael Dey known for?

Michael Dey has skills like R, Data Science, Python, Machine Learning, Engineering, Mechanical Engineering, Mathematics, Engineering Design, Algorithms, Data Analysis, Statistical Data Analysis, Cost Control.

Who are Michael Dey's colleagues?

Michael Dey's colleagues are Elke Schlagenhauf, Shakita Can I, Red Blue, Garnet Brown, Constance Whitner, Kelsey Warren, Keyondre Baxter.

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