Steve Koonce Email and Phone Number

I manage the AWS EMR Spark Performance and OTFs organization, comprised of teams in Seattle and Palo Alto building: 1) Spark query plan and execution engine optimizations 2) The AWS Spark runtime - containing our optimizations and maintaining 100% API compatibility with the latest versions of Apache Spark 3) Iceberg, Hudi, and Delta performance optimizations and features

My team owned Amazon's Item Pipeline, which processes 15k TPS of merchant updates (including mutation, validation, etc.) against a billions of items comprising Amazon's retail catalog.

Cloud DataflowContributed to project adding Map-based persistent state types to the Google CloudDataflow Runner for Apache Beam

Title changed to SDM - otherwise no change in previous responsibilities* Completed migration and decommissioning of legacy rules engine service* Expanded rules engine service to support validation against rules data in customers' remote storage, consultation of ML models

Created charter for and launched new team owning all listing validation rules and providing business teams with a flexible data model and enable their rule logic to curate Amazon's retail catalog at scale. Acted as team Manager and development lead. Managed three engineers * Expanded usage of new rules engine service validating all third-party merchant product data and listing submissions against the Retail Catalog.* Built infrastructure allowing for non-intrusive (no outage, fully transparent to all users) migration of 2.5 TB of data in legacy rules engine service supporting the same use case into the new rules engine service.

Designed and launched rules engine service validating all third-party merchant product data and listing submissions against the Amazon Retail Catalog. Lead engineer for services:* maintaining all Retail Catalog third-party merchant inventory levels* maintaining all first- and third-party merchant fulfillment configuration

Software Engineer on team owning a relational, versioned, no-SQL database used by 100s of teams at Amazon. Added Secondary Indexing and Namespace support.

Firmware Component Lead, IBM WebSphere CloudBurst Appliance · Design, develop, and maintain Linux-based firmware, appliance management tools · Lead interaction with hardware, firmware dependency teams, and support team · Build REST interfaces for appliance facilities and expose them through web UI Component Team Lead, Rational Developer for System z · Led development team to deliver an Eclipse editor for remote, COBOL-formatted data · Designed and implemented support for editing very large, remote datasets · Developed Eclipse plugins, object model for COBOL data, Java NIO data transport · Led requirements gathering, design, interaction with collaborating team · Lead inventor, US Patent 7549116: Table widget handling multiple row layouts

Software Developer, Rational Developer for System z · Wrote C socket code for IBM System z MVS · Led System z development on project providing Eclipse access to System z assets