Swaranga Sarma is a senior software engineer based in Seattle with 12 years of production engineering experience and a strong background in Java and Perl. He has led re-architecture efforts for high-throughput data processing systems that handle roughly 2 billion daily requests and designed near real-time aggregation platforms to accelerate iterative ML training and customer-facing use cases. At Netflix he contributes to back-end systems (notably enhancing the metacat Hive connector) and previously drove IoT and core services at AWS and multiple roles across Amazon, demonstrating both hands-on coding and design leadership. Known for pragmatic system design, he blends deep SQL and Java expertise with operational awareness to deliver scalable, debuggable platforms. An interesting detail: beyond large-scale batching, he focuses on reducing feedback loop time for ML workflows, turning analytics pipelines into faster experimentation engines.
Contributions:25 releases, 19 reviews, 10 commits in 3 months
Contributions summary:Swaranga primarily focused on enhancing the `metacat-connector-hive` module, specifically adding functionality to retrieve database connections. They introduced a `getConnection` API and implemented it within the `DirectSqlTable` and `HiveConnectorFastTableService` classes. Further contributions included adding diagnostic logging for invalid table owner scenarios, and correcting owner selection logic. The user demonstrated proficiency in Java and interaction with SQL databases.
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