Ramachandra Nalam is an accomplished Data Engineer with significant experience across multiple leading organizations. Currently at Meta, Ramachandra builds advanced data processing pipelines and frameworks, significantly improving data modeling efficiency and analytics accuracy. Previous roles include Data Engineer positions at Amazon and Nike India, where Ramachandra optimized ETL pipelines and ensured data consistency for high-volume databases. As an Analytics Engineer and Research and Development Intern, Ramachandra developed predictive models for energy forecasting and contributed to machine learning initiatives at UB Artificial Intelligence. Ramachandra holds a Master's degree in Data Science from the University at Buffalo and possesses a strong background in technologies such as Apache Kafka, Spark, and Snowflake.
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