Michael Dey Email & Phone Number
@redventures.com
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Who is Michael Dey? Overview
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Michael Dey is listed as Staff Data Engineer at Red Ventures, a with 2234 employees, based in Austin, Texas, United States. AeroLeads shows a work email signal at redventures.com and a matched LinkedIn profile for Michael Dey.
Michael Dey previously worked as Data Engineer at Red Ventures and Senior Data Engineer at Slalom. Michael Dey holds Master'S Degree, Computer Science & Mechanical Engineering from Georgia Institute Of Technology.
Email format at Red Ventures
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AeroLeads found 1 current-domain work email signal for Michael Dey. Compare company email patterns before reaching out.
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.
Listed skills include R, Data Science, Python, Machine Learning, and 46 others.
Michael Dey's current company
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Michael Dey work experience
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Data Engineer
CurrentBig 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.
Senior Data Engineer
-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.
Lead Data Engineer
-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.
Lead Data Analytics Engineer
Mechanical Component, Ge Oil And Gas
“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
Engineering Intern
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
Department Tutor
Meet with UT students and explain concepts in Physics, and CalculusOffer suggestions and guidance for effective study habits
Colleagues at Red Ventures
Other employees you can reach at redventures.com. View company contacts for 2234 employees →
Johan Rivera
Colleague at Red VenturesPuerto Rico
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Yareline Merced Ramos
Colleague at Red VenturesSan Juan, Puerto Rico
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Maggie Kempken
Colleague at Red VenturesAtlanta, Georgia, United States
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Joshua Dos Santos
Colleague at Red VenturesHialeah, Florida, United States
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Rick Carlson
Colleague at Red VenturesAurora, Colorado, United States
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James Ewing
Colleague at Red VenturesRock Hill, South Carolina, United States
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Elijah Brown
Colleague at Red VenturesLancaster, South Carolina, United States
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Dustin Reedy
Colleague at Red VenturesCharlotte Metro, United States
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Hélen Martins
Colleague at Red VenturesSão Paulo, Brazil
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Alex Prosser
Colleague at Red VenturesCambridge, England, United Kingdom
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Michael Dey education
Master'S Degree, Computer Science & Mechanical Engineering
Bs, Mechanical Engineering
Bachelors Of Science, Mechanical Engineering
Education record
Frequently asked questions about Michael Dey
Quick answers generated from the profile data available on this page.
What company does Michael Dey work for?
Michael Dey works for Red Ventures.
What is Michael Dey's role at Red Ventures?
Michael Dey is listed as Staff Data Engineer at Red Ventures.
What is Michael Dey's email address?
AeroLeads has found 1 work email signal at @redventures.com for Michael Dey at Red Ventures.
Where is Michael Dey based?
Michael Dey is based in Austin, Texas, United States while working with Red Ventures.
What companies has Michael Dey worked for?
Michael Dey has worked for Red Ventures, Slalom, Baker Hughes, A Ge Company, Ge Oil & Gas, and Wayne, A Ge Energy Business.
Who are Michael Dey's colleagues at Red Ventures?
Michael Dey's colleagues at Red Ventures include Johan Rivera, Yareline Merced Ramos, Maggie Kempken, Joshua Dos Santos, and Rick Carlson.
How can I contact Michael Dey?
You can use AeroLeads to view verified contact signals for Michael Dey at Red Ventures, including work email, phone, and LinkedIn data when available.
What schools did Michael Dey attend?
Michael Dey holds Master'S Degree, Computer Science & Mechanical Engineering from Georgia Institute Of Technology.
What skills is Michael Dey known for?
Michael Dey is listed with skills including R, Data Science, Python, Machine Learning, Engineering, Mechanical Engineering, Mathematics, and Engineering Design.
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