Summary
Priya Balaji is a Data Engineer with 10 years of experience building ETL pipelines, data transformation frameworks, and big data platforms for automotive and pharmaceutical industries. Currently at Ford, she specializes in PySpark, SQL, Databricks, Azure Data Factory and designing data quality/profiling solutions for both batch and real-time workloads. Her background includes migrating traditional data warehouses to modern delta-lake architectures, creating business-facing KPIs and delivering analytics in Power BI and Qlik. A Central Michigan University MSCS graduate, she pairs hands-on engineering with applied predictive modeling and statistical techniques from her graduate work. Notably, early in her career she automated large-scale digitization workflows that reduced operational costs and demonstrated practical map-reduce style processing using NumPy and Pandas. Priya combines technical depth with business acumen to drive data-driven decision making in cross-functional analytics teams.
9 years of coding experience
7 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Central Michigan University