Summary
Sindu Kandula is a Staff Data Engineer based in San Francisco with eight years of experience building large-scale data platforms and real-time pipelines at Meta and Uber. A Santa Clara University computer science and engineering graduate, she progressed through increasing responsibility at Meta from Data Engineer II to Staff, driving production data systems and cross-team infrastructure. Her background includes designing frequent, automated ingestion workflows (Airflow) and low-latency search pipelines (Elasticsearch) from her early work with GDELT, reflecting a focus on operational reliability and real-time analytics. Comfortable in both startup-style fellowships and hyperscale environments, she blends hands-on pipeline engineering with mentorship and architecture for data-intensive products. An engineer who values automation and measurable SLAs, she brings an eye for optimizing data freshness and query performance at scale.
8 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree Electronics and Communications Engineering, Bachelor’s Degree Electronics and Communications Engineering at Mahatma Gandhi Institute of Technology
Master’s Degree Computer Science and Engineering, Master’s Degree Computer Science and Engineering at Santa Clara University
English, Hindi, Telugu