Prerna Parashar is a Senior Data Engineer based in the San Francisco Bay Area with a strong track record of building scalable data pipelines and analytics systems across finance, education, and cloud storage domains. With 8+ years of industry experience and a master’s in Information Systems and Data Science, she has designed distributed ETL architectures using Hadoop, Spark, Hive, and real-time streaming with Kinesis to support millions of customers and high-throughput applications. At Storj Labs she spans full-stack work and instrumentation, adding event-level analytics across frontend and backend components of a notable decentralized cloud storage project to surface user behavior for product and billing workflows. She pairs hands-on engineering—APIs, Spark-SQL, Python automation for data profiling, and NoSQL integrations—with product-minded insight, improving reliability, cost, and delivery velocity. Comfortable collaborating with data science and product teams, she focuses on turning complex data requirements into operational systems and actionable insights. An understated strength is her blend of backend data engineering and frontend analytics instrumentation, enabling end-to-end visibility from ingestion to user events.
5 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Information Technology, Bachelor's degree, Information Technology at Jaypee University of Information Technology
Master's degree, Information Systems and Data Science, Master's degree, Information Systems and Data Science at University of Cincinnati Carl H. Lindner College of Business
Ongoing Storj v3 development. Decentralized cloud object storage that is affordable, easy to use, private, and secure.
Role in this project:
Full-stack Developer
Contributions:12 reviews, 68 commits, 39 PRs in 1 year 9 months
Contributions summary:Prerna's commits primarily involve adding analytics tracking across various components of the Storj satellite project. They integrated analytics for user actions like sign-ins, project creation, access grants, account verification, and billing actions. The contributions span both frontend (web/satellite) and backend (satellite/console) aspects, modifying code for event tracking with both Segment.io and HubSpot. Additionally, the user made changes to navigation, bucket management, and access grant creation, incorporating analytics to monitor user behavior and events.
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