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Data Engineer Resume

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Parkville, MO

TECHNICAL SKILLS:

Programming: Python, R, HIVE, SQL, C++, C, Java, SQL, HMTL, and JavaScript

Machine Learning: Decision Trees, Clustering, Multivariable Regression, Support Vector Machines, Supervised and Unsupervised Learning, Random Forest, and Neural Networks

Big Data Architecture:  Spark, Hadoop, and HIVE, Vertica

BI and Visualization Software: Tableau, BIME, Microsoft BI

Databases: MongoDB, Postgres SQL, and Vertica

Operating systems: Windows, Linux, OSX, Gentoo, and OpenBSD

PROFESSIONAL EXPERIENCE:

Confidential, Parkville, MO

Data Engineer

Responsibilities:
  • Use technology such has Hadoop and Hive to create queries to validate user MFA to insure that user’s accounts are not compromised.
  • Develop data pipelines for JackStack that pulled data from their database and piped it into a Tableau dashboard. This helped give the client not only more accurate data but also gave JackStack close to real - time data of their sales.
  • Create an API written in Python using Flask to automate an internal audit process that allowed Confidential to bill clients 80 hours and complete the task in 15 hours (81.25 % increase).
  • Train employees in how to use Python to explore, investigate and generate predictions using libraries found in Anaconda.
  • Automate the checking of beacons on Realtor.com using Python, Selenium, and BrowserMob Proxy to help guarantee data integrity that beacons were properly firing.
  • Data mine publicly available data sets using Selenium and BeautifulSoup4 to help BlueScope conduct a deeper analysis on their markets.
  • Help customers such as Lake Flato move away from using data cubes as a backbone to their data analysis. This helped Lake Flato examine their data on a more granular scale without having to recalculate the cube.

Confidential, Kansas City, MO

Business Intelligence

Responsibilities:
  • Build ETL processes and data frames using custom python code.
  • Integrate Bubbles ETL libraries.
  • Write custom software using DevExpress to track down trucks throughout the Northern Hemisphere to drastically improve customer relations and customer retention by 15%.
  • Lead a machine learning initiative that used ML and artificial intelligence to predict break rates for heavy duty trucks.
  • Use predictive models to help customers understand their fleets and how to optimize their business.
  • Lead the implementation of new BI tools into daily office setting to better visualize and understand complex data.
  • Design and automate databases to proactively track new and existing customers in 36 locations.
  • Develop web crawlers in Python to track competitors and new customers coming into the market.
  • Use telematics technology to improve truck up time, predict breaks, and improve process efficiency.
  • Automation of New and Used Truck sales processes to more efficiently consign units by customer.
  • Mine public databases to develop customer profile sheets to push business expansion in new states.

Confidential, Kansas City, MO

Marketing Associate

Responsibilities:
  • Developed solutions, procedures, and implementation methods to meet large marketing project deadlines.
  • Managed international accounts in Spain using tools such as Google Analytics, Google Webmaster, Cpanel, Adwords, and Wordpress.
  • Evolved SEO strategies and conduct Google keywords research.
  • Fostered marketing strategies through creative design of product catalogues’ and brochures using InDesign, Photoshop, and Illustrator.
  • Conducted market research of competitors’ products, search for upcoming models, and new advances in the LED industry.
  • Forecasted monthly and yearly sales savings for customers switching to DuraComm’s LED lights.
  • Managed logistics of product build and ship dates to customer.
  • Coordinated warehouse, engineering, and sales department to deliver products to customers.
  • Created sales reports; interpreted customer trends.

Confidential,  Kansas City, MO

Founder 

Responsibilities:
  • Developed product design and packaging and transportation methodologies.
  • Researched product outsourcing, competitor analysis, market strategies, operations strategies, and hiring of consultants

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