Summary
Niranjan Addanki is an Engineering Manager and Principal Engineer with a decade of experience building and optimizing large-scale data platforms, now based in Mountain View. He has led architecture and delivery of high-throughput ETL and streaming systems—transforming batch to streaming pipelines, cutting SLAs from an hour to 20 minutes and saving hundreds of thousands in annual costs. Comfortable across Python, Java, Scala and the Hadoop/Spark ecosystem, he pairs strong algorithmic fundamentals with hands-on work in Snowflake, Druid, Airflow and Looker to deliver production ML-ready data products. His background ranges from numeric research in retinal blood-flow models to shipping enterprise data warehouses at Bank of America, reflecting both academic rigor and practical impact. Known for pragmatic optimizations (e.g., pipeline cost reduction and orchestration migrations), he focuses on scalable, observable systems and improving UX for external dashboards.
10 years of coding experience
12 years of employment as a software developer
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at SUNY Polytechnic Institute
Bachelor of Engineering (BE) Electronics and Communications Engineering Technology, Bachelor of Engineering (BE) Electronics and Communications Engineering Technology at Chaitanya Bharathi Institute Of Technology
English, Telugu, Hindi