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Data Product Associate @YipitData
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WORK HISTORY
Data Product Associate @YipitData
Tech Lead, Data & Analytics- Owned the technical roadmap and led delivery of production-grade data systems on Databricks/Spark, defining engineering standards and mentoring peers while aligning cross-functional priorities with Product and QA- Designed and operated scalable pipelines processing 1M+ monthly transactions across healthcare, logistics, and SaaS, enabling trusted analytics for 15+ mid-market clients- Increased large-scale data processing efficiency by ~45% through Spark optimization, workload tuning, and improved pipeline architecture- Built and deployed LLM-powered classification workflows (GPT APIs) in production, improving data accuracy by 30–40% and reducing manual review effort by ~90%- Engineered automation for high-volume operational workflows, saving analysts ~2 hours per day and improving data reliability.
EDUCATION
Universidade Estadual de Campinas
Master's Degree, Computational and Applied Mathematics
ABOUT VIKTOR FERRER
As a Data Product Associate at YipitData, I collaborate with cross-functional teams to deliver production-grade data systems, leveraging Databricks/Spark to optimize workflows and ensure trusted analytics for mid-market clients. My work includes building scalable pipelines, enhancing data accuracy with LLM-powered workflows, and improving system efficiency through Spark optimization. My educational journey includes a BTech in System Analysis and Development from FATEC and ongoing studies in Computational and Applied Mathematics at UNICAMP as special student. With a focus on data quality, machine learning, and deep learning, I aim to develop innovative solutions that align with strategic organizational goals.
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