Eashani Deorukhkar is a Data Engineer with nine years of experience building data pipelines and warehouses, currently based in Sunnyvale, California. She holds an MS in Applied Data Science from Syracuse University and has applied her skills across tech and energy sectors at companies including Tesla and Mercari US. Her background spans ETL, NoSQL migrations, IoT time-series cleaning, and ML-ready dataset creation—work she also taught as a graduate TA for Data Warehouse and Big Data Analytics. Known for turning messy XML/IoT feeds into reliable JSON-backed datasets and automating migrations with Python and MongoDB, she blends academic rigor with production-grade engineering. Colleagues describe her as problem-driven and pragmatic, comfortable progressing projects from prototype analytics to scalable data platforms.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Applied Data Science, Master of Science - MS, Applied Data Science at Syracuse University
Bachelor’s Degree, Information technology engineering, Bachelor’s Degree, Information technology engineering at Ramrao Adik Institute of Technology
Bachelor of Engineering (BE), Information Technology, Bachelor of Engineering (BE), Information Technology at University of Mumbai
Contributions:22 commits, 21 pushes, 1 branch in 1 day
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