Working on a low latency, highly available OLTP product

• Worked on a SaaS solution for Salesforce protection, building a highly available solution capable of ingesting large volumes of customer data securely and reliably, using an in house RDBMS storage layer built on top of Postgres

• Led design and development of a petabyte scale data upload pipeline, collaborating with engineers across teams such as the CockroachDB, distributed job framework, and distributed file system teams.

• Led to over 50x performance improvements on large workloads and numerous QOL improvements

• Integrated support with AWS and Azure Container and Blob immutability offerings with Rubrik's snapshot upload product. Handled rectifying semantic differences in disparate cloud offers with Rubrik's custom data model. Awarded a joint Patent for work on this project (#11,902,452 -

Techniques for data retrieval using cryptographic signatures)

• Debugged, mitigated, and fixed hundreds (100+) customer issues, with a focus on code supportability (proper logging, tooling for debugging)

• Championed testing and code coverage, leading rearchitectures of previously untested areas such as 3rd party SDK integration for AWS, Azure, GCP, NFS etc. clients

• Designed and implemented a system for data extraction, generation, and masking of production Salesforce data for use in load tests

• Automated orchestration and deployment of parallel environments for reproducible and isolated testing via tools like Puppet