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Gus Valicente
Data Engineer @John Deere
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WORK HISTORY
Data Engineer @John Deere
Data Engineer on Global Parts Pricing (GPP) analytics team, responsible for generating data pipelines for data ingested into ML models, utilizing Databricks and Pyspark - Responsible for creating and managing data pipelines for model outputs, assuring data usability by wide range of stakeholders such as Enterprise Data Lake, Analytics tools (Tableau and PowerBI) and proprietary John Deere applications- Develops ETL processes utilizing PyCharm and GitHub in order to provide data scientists with model train and test data - Deploys ML models on Databricks through.whl files, allowing team to leverage benefits of PyCharm IDE and elastic compute of Databricks/AWS EC2- Manages Global Parts Pricing curated datasets and schemas for enterprise consumption - Programming languages: Pyspark, Python, SQL
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