Shubham Raizada — Software Engineer

I am a Principal Engineer at Atlassian with experience in architecting high-throughput distributed systems and leading large-scale data migrations. My expertise lies in designing low-latency streaming platforms and optimizing complex data pipelines to drive operational efficiency. At Conviva, I developed the storage and checkpointing layer for a Rust-based streaming platform. The system processed 200k events/sec (600 Mbps). Also engineered custom operators for a DAG-based timeline engine to enable scalable timeseries analytics. At Walmart Labs, I optimized demand forecasting by migrating Hive queries to Spark DataFrames, reducing execution time from 50 hours to 5 hours and cutting hardware costs by 15%. Designed an item ingestion pipeline using Spark Streaming and Kafka Streams, processing 20 million items in 2 hours with Apache Ignite integration for real-time caching. I actively summarize my engineering learnings and architectural insights on my personal blog - https://shbhmrzd.github.io/

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in Streaming and Data Engineering.

Location: Karnataka, India

Experience: 10 yrs 6 mos