Prathap Parvathareddy
Staff Software Engineer at Airbnb
Austin, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolPrathap Parvathareddy is a Staff Software Engineer with 10+ years of experience building enterprise-scale distributed and cloud-native data platforms across retail, finance, and high-tech sectors. Based in Austin, he has driven large-scale batch and streaming solutions at Google—enabling use cases like real-time fraud detection, ad targeting, and algorithmic trading—and now applies that domain expertise at Airbnb. He combines hands-on Java backend development with architecture and operational tooling, contributing to notable open-source Google Cloud projects such as DataflowTemplates and Professional Services streaming benchmarks to make pipelines more robust and testable. Known for turning production requirements into reusable artifacts and playbooks, he emphasizes schema validation, dead-letter handling, and integration testing to improve reliability. His background spans hands-on engineering, cloud onboarding, and cross-functional enablement, reflecting a pragmatic focus on accelerating time-to-market for complex data products.
10 years of coding experience
20 years of employment as a software developer
Jawaharlal Nehru Technological University Hyderabad
English, Hindi, Telugu
Github Skills (19)
dataflow-programming10
bigquery10
dataflow10
testing10
google-cloud-dataflow10
java10
javas10
google-cloud-pubsub10
pubsub10
apache-beam10
schema-validation9
mongodb-database9
gcp9
mongodb9
json7
Programming languages (6)
Github contributions (5)
GoogleCloudPlatform/DataflowTemplates
Jul 2020 - Apr 2021
Cloud Dataflow Google-provided templates for solving in-Cloud data tasks
Role in this project:
Back-end Developer
Back-end DeveloperContributions:139 reviews, 13 commits, 7 PRs in 9 months
Contributions summary:Prathap primarily contributed to the `PubSubToMongoDB` dataflow template, developing integration tests to validate its functionality. Their work involved modifying Java code within the template's source directory, specifically focusing on incorporating features like cloud function actions and defining configurations for the template. The commits indicate enhancements to the processing logic, including the addition of dead-letter table functionality and changes to the message processing workflow. These modifications improve the template's robustness and flexibility.
gcpgoogle-cloud-platformgoogle-cloudgoogle-cloud-storagedataflow
GoogleCloudPlatform/professional-services
Apr 2020 - Aug 2020
Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
Role in this project:Backend Developer
Backend DeveloperContributions:13 reviews, 17 commits, 19 PRs in 3 months
Contributions summary:Prathap primarily contributed to the development of a streaming benchmark within the Google Cloud Professional Services repository. Their work focused on enhancing the schema inspection process and adding attribute fields for processing within the streaming pipeline. This included modifications to Java code, specifically within the StreamingBenchmark class, and related test classes demonstrating an understanding of data processing, schema validation, and the use of Google Cloud Pub/Sub for streaming applications. The user also updated the helpers script for format checks.
gcpprofessionalgoogle-cloud-mlgoogledata-stream
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