Sai P
@saip
I build scalable distributed databases, data pipelines, and cloud-native APIs.
United StatesWhat I'm looking for
At Netflix, I extend query engines for semi-structured data, designing document-aware operators and custom scan nodes that improved query latency by 35% for 200M+ users.
I tune indexing and index-pruning strategies, build AI-enabled NLU query pipelines with OpenAI APIs and GitHub Copilot, and support Kafka pipelines processing 500K+ events per hour. I use Splunk and Grafana telemetry to reduce production incident MTTR to under 15 minutes.
Previously at JPMorgan Chase, I led storage-engine development for a document management platform, implementing write-ahead logging, point-in-time recovery, and high-availability patterns with zero data loss across millions of financial documents. At Walmart, I built cloud-native document services, 40+ REST and GraphQL APIs, and Kafka-based real-time analytics pipelines for global inventory workflows.
I enjoy translating complex business needs into reliable distributed systems, improving database performance, and debugging mission-critical production workloads.
Experience
Work history, roles, and key accomplishments
Extended query engine for semi-structured data workloads, improving query latency by 35% for 200M+ users. Designed indexing strategies and AI-enabled NLU query pipelines, and debugged distributed database systems in production.
Led database storage engine development for a document management platform, implementing WAL and high-availability patterns. Engineered scalable document ingestion pipelines using Kafka and Spring Batch, and designed distributed systems with strong consistency.
Built cloud-native document workload services with Azure Cosmos DB and multi-layer caching, delivering 40+ REST and GraphQL APIs. Engineered high-throughput Kafka pipelines and Kubernetes-based workflows, and created Grafana dashboards for performance profiling.
Education
Degrees, certifications, and relevant coursework
University of Central Missouri
Master's Degree, Computer Science
2023 - 2025
Pursued a Master's degree in Computer Science, completing coursework and research in advanced computing topics.
MLR Institute of Technology
Bachelor's Degree, Electronic and Computer Science
2017 - 2021
Earned a Bachelor's degree in Electronic and Computer Science, gaining foundational knowledge in electronics and computer science.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Salary expectations
Skills
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