Experience

Fyllo

• United States
• Software Development
• 1 - 100 Employee

• Data & Analytics Architect

  • Nov 2021 - Present

  In this role, I collaborate with the Data and Analytics team members to build out the orchestration infrastructure, develop and administer data pipelines and automate the data movement jobs. In this role, I collaborate with the Data and Analytics team members to build out the orchestration infrastructure, develop and administer data pipelines and automate the data movement jobs.



Self-employed

• Data | Machine Learning Engineer

  • Jan 2021 - Present

  Working with several startups to help them move their products forward by providing machine learning and data engineering solutions.• Developed propensity scoring model to predict if customer would convert. Used for optimizing marketing list.• Built ETL process to extract data from S3, decompress (zip), sniff record type, parse into determined record types, recompress (gzip) and place back on S3, all in memory. Working with several startups to help them move their products forward by providing machine learning and data engineering solutions.• Developed propensity scoring model to predict if customer would convert. Used for optimizing marketing list.• Built ETL process to extract data from S3, decompress (zip), sniff record type, parse into determined record types, recompress (gzip) and place back on S3, all in memory.



SimplePart LLC

• United States
• Software Development
• 1 - 100 Employee

• Lead Data Engineer - Business Analytics

  • Mar 2021 - Nov 2021

  While holding this position, I supervise the data warehouse and all data movement processes. In addition, I collaborate with internal teams to ensure they are getting the data they need to make informed business decisions. Developing data pipeline processes in Python to pull in data from our manufacturers and third-party systems to enrich our internal data.• Created a strategy to detect when websites have potential BOT traffic using modified Z-Score calculation. • Rearchitecting processes to deal with the increase in our data's volume and velocity.• Streamline our client mart PowerBI processes to ensure our manufacturers have accurate data in a timely fashion.



WarnerMedia

• United States
• Entertainment Providers
• 700 & Above Employee

• Analytics Architect

  • Jun 2018 - Mar 2021

  For this position, I collaborate with Data & Machine Learning Products team members to transition data science strategies into effective business solutions. I develop and administer data pipelines, launch machine learning models into production environment, and utilize application programming interface (API) endpoints to automate data extraction from third-party vendors. • Developed process to extract and apply machine learning (ML) model predicting probability of tweet generation by BOT to between 500K and 3M tweets per day from Twitter API based on keywords specified each day. • Executed data engineering for winner of 2019 ABBI Award for Most Innovative Use of Data and Insights. • Constructed data pipeline pulling around 15M game interactions per day for role playing video game, Pocket Mortys. • Ensure data science initiatives result in successful business solutions by refactoring processes for gathering and feeding input data into ML models, for building of model features, and for identifying locations of stored results prior to transition of model into production environment for operation in automated fashion. • Employ third-party audience composition, search engagement, and attention index data to develop pipelines supporting ad sale products.



SimplePart LLC

• United States
• Software Development
• 1 - 100 Employee

• Data Engineer

  • Jun 2015 - Jun 2018

  For this role, I oversaw the production environment to enable and verify the smooth data transition among systems and supervised the data warehouse to validate the accuracy of procedural results. I liaised with the internal digital marketing teams to improve the search engine optimization (SEO) and search engine marketing (SEM) processes generating the data feeds. I developed and supported the data pipelines between manufacturers and third-party systems and consumed web services with Python.• Migrated 12M web click events per day into data warehouse through maintenance and improvement of data pipeline process. • Increased SEO and sales with construction of site maps guiding crawl of search engines through websites. • Enhanced reporting capabilities with new data warehouse processes and tables.



Amplify Technologies

• Backend Engineer

  • Aug 2013 - May 2015

  While holding this position, I contributed as the backend engineer to the development of a multichannel marketing automation software solution for this marketing technology startup organization.• Designed and delivered process for extracting, cleansing, and validating approximately 150K interactions each night between car dealers and third-party vendors for entry into marketing database. • Conceived and developed process to extract data and trigger 18 automated marketing activities daily to feed results into marketing engine. • Built API endpoint for application services to enable communication with database for marketing activities.



Kids2

• United States
• Manufacturing
• 300 - 400 Employee

• Business Analyst

  • Jan 2012 - Aug 2013

  During my tenure in this role, I applied business management, development, and technical skills to design and deploy database solutions for all departments for streamlined and enhanced processes. I automated the manual processes for increased productivity and cost savings, built data warehouses, and constructed critical reports.• Collaborated with sales and forecasting teams in fabrication of analysis and data mining model to assess accuracy of forecasts. • Managed integration of forecasting software into enterprise resource planning (ERP) system software. • Responded to departmental requests for ad hoc reports and analysis of various data sets.



dDirect

• United States
• Marketing and Advertising
• 1 - 100 Employee

• SQL Developer

  • Jan 2009 - Feb 2012

  For this position, I created, improved, and maintained the relational database management solutions for major clients. I created stored procedures and data migration processes, conducted data analysis, and compiled specific reports.• Defined return on investment (ROI) for marketing activities through analysis of responses. • Utilized data mining results to categorize customers for assignment to campaigns. • Conducted data visualization based on customer and store locations.