Inna Baloyan is a results-driven Big Data Engineer and Associate Director with over a decade of experience designing scalable ETL/ELT pipelines, data quality frameworks, and analytics solutions across Wealth Management and Retail Banking. At UBS she architects Azure-based data platforms, Airflow workflows, and NLP-driven recommendation engines that measurably cut costs, accelerate processing, and boost advisor engagement. Skilled in Python, PySpark, SQL, Dataiku, Databricks and a wide array of databases, she combines hands-on development with operational rigor—building validation frameworks and monitoring that reduced defect escape rates by ~30%. She also mentors and teaches data science skills, bringing practical pedagogy from bootcamp tutoring into enterprise knowledge transfer. Comfortable leading cross-functional Agile teams and reverse-engineering legacy models, she has a track record of eliminating manual work and turning complex financial data into actionable insights.
8 years of coding experience
17 years of employment as a software developer
Bachelor of Arts - BA, Major: Computer Science, Minor: Mathematics, Bachelor of Arts - BA, Major: Computer Science, Minor: Mathematics at New York University
Certification, Data Science Coding Bootcamp, Certification, Data Science Coding Bootcamp at Rutgers University
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Inna Baloyan - Big Data Engineer, Associate Director