Javiera Parada Epul is a Data Engineer with eight years of experience building data pipelines, KPI integrations, and fraud-detection models across public sector and enterprise environments. She has delivered AWS-based data solutions at Yom and developed credit fraud analytics and predictive systems at Tata Consultancy Services, blending data engineering with applied machine learning. Javiera pairs full-stack development roots and Scrum leadership from government digital programs with hands-on ETL, API and SMS-broker integrations earlier in her career. She also teaches BI and SQL to expand women鈥檚 inclusion in IT, showing a commitment to mentoring and community impact beyond production systems. Based in Santiago, Chile, she maintains an active GitHub portfolio and brings a pragmatic focus on turning diverse data sources into operational insights.
8 years of coding experience
8 years of employment as a software developer
Information Technology, Information Technology at Computer engineering
Contributions:22 commits, 28 pushes, 4 branches in 5 months
djangoproyectopythondjango-framework
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