Yuri Rios

As a highly skilled Data Engineer with a passion for leveraging technology to drive business growth, I have extensive experience in designing and implementing sophisticated data pipelines and warehouses. My expertise lies in reducing data processing times, developing KPIs for insightful dashboards, and ensuring data quality and observability across various projects.
I have successfully built data pipeline models that significantly improved our data architecture, reducing processing times from 1 day to just 30 minutes. My proficiency in creating KPIs using Tableau has enhanced data visualization and facilitated data-driven decision-making. Through extensive exploratory data analysis, I have provided comprehensive insights across sectors such as sales, products, finance, and expansion.

My technical skills include:
𝗔𝗪𝗦 & 𝗘𝗧𝗟 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗲𝘀: Extensive work within the 𝗔𝗪𝗦 ecosystem (S3, EMR, Redshift), conducting 𝗘𝗧𝗟 processes with 𝘼𝙥𝙖𝙘𝙝𝙚 𝘼𝙞𝙧𝙛𝙡𝙤𝙬, and managing pipelines using Azure Pipelines and Terraform scripts.
𝗠𝗼𝗱𝗲𝗿𝗻 𝗗𝗮𝘁𝗮 𝗦𝘁𝗮𝗰𝗸: Collaborated on developing data pipelines for Google Analytics using 𝗗𝗕𝗧 and Dagster, and implemented 𝗖𝗜/𝗖𝗗 and observability to process hundreds of gigabytes of data daily.
𝗔𝗴𝗶𝗹𝗲 𝗠𝗲𝘁𝗵𝗼𝗱𝗼𝗹𝗼𝗴𝘆: Utilized 𝗔𝗴𝗶𝗹𝗲 methodology for efficient project management and team collaboration.
𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴: Creating, improving, and monitoring algorithms for sales forecasting using models like Random Forest and XGBoost, and deploying them to new sites. I have built robust data pipelines to deploy ML models in production and developed dynamic simulations for economic viability analysis.
𝗔𝗻𝗼𝗺𝗮𝗹𝘆 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻: Developed expense anomaly detection systems using 𝗣𝘆𝘁𝗵𝗼𝗻 libraries such as pyOD, sklearn, pycaret, and scipy, ensuring financial integrity and prompt identification of potential issues.
With a strong foundation in 𝗣𝘆𝘁𝗵𝗼𝗻 and 𝗦𝗤𝗟 and a commitment to continuous learning and improvement, I excel at handling and transforming large-scale data, making it readily available for business intelligence and strategic decision-making. My goal is to continue leveraging cutting-edge technologies to solve complex data challenges and drive meaningful outcomes for organizations.