Summary
Naimisha Tummu is a Software Development Engineer at Amazon with nine years of experience building high-throughput data systems and backend services, currently contributing to the AWS Kinesis Firehose team. She combines enterprise-grade ETL and data warehousing expertise from a three-year tenure at Wells Fargo—where she led major pipeline optimizations, automated testing and production fixes that saved hundreds of hours and earned 29 success awards—with advanced big-data and ML skills developed during a Computer Science MS at Santa Clara University. Proficient in Java, Python, Scala, Hadoop, Spark, Flink, Kafka and Ab Initio, she excels at designing scalable batch and streaming pipelines and troubleshooting critical production issues. Her graduate research applied NLP techniques to story generation, reflecting a pragmatic blend of applied ML research and production engineering.
9 years of coding experience
3 years of employment as a software developer
High School, 93.4%, High School, 93.4% at DAV High School
Intermediate, 97.4%, Intermediate, 97.4% at Narayana Junior College
Bachelor’s Degree, Electronics and Communication Engineering, 3.96, Bachelor’s Degree, Electronics and Communication Engineering, 3.96 at Chaitanya Bharathi Institute Of Technology
Master's degree, Computer Science, 3.93, Master's degree, Computer Science, 3.93 at Santa Clara University
100%, 100% at Deeplearning.ai | Coursera