Jeff Kinard
EVP, Corporate Development
North Carolina, United States
Summary
🤩
Rockstar🎓
Top SchoolJeff Kinard is an EVP of Corporate Development and SAP Plant Maintenance specialist with eight years of documented experience and a 15+ year career history implementing enterprise asset management and plant maintenance workflows. He blends hands-on SAP functional and configuration expertise across PM, PS, MM and HR with strategic leadership roles at Prometheus Group, progressing from Senior Consultant to EVP. Jeff pairs deep domain knowledge in SAP implementations with practical cloud data engineering contributions—he has improved YAML-based pipelines and BigQuery integrations in high-profile open-source projects like Apache Beam and Google Cloud Dataflow templates. Based in North Carolina, he’s known for turning complex maintenance and asset management requirements into scalable, auditable solutions and for bridging traditional SAP practice with modern data pipeline tooling.
8 years of coding experience
5 years of employment as a software developer
Business Management, Information Systems, Business Management, Information Systems at North Carolina State University
Github Skills (16)
javas10
bigquery10
apache-beam10
python10
mongodb10
java10
mongodb-database10
yaml10
bigtable10
testing9
jdbc9
google-cloud-dataflow9
unit-testing9
sql5
go4
Programming languages (5)
Github contributions (5)
GoogleCloudPlatform/DataflowTemplates
Aug 2022 - Jan 2023
Cloud Dataflow Google-provided templates for solving in-Cloud data tasks
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:8 releases, 311 reviews, 13 commits in 5 months
Contributions summary:Jeff contributed to the creation and enhancement of BigQuery resource management within the Cloud Dataflow templates. They refactored BigQuery resource management logic, moved build logic to the constructor, and added a testing constructor. Further contributions involved creating and testing Bigtable and MongoDB resource managers. These commits demonstrate a focus on expanding the capabilities of the Dataflow templates and ensuring their reliability through automated testing.
gcpgoogle-cloud-platformgoogle-cloudgoogle-cloud-storagedataflow
apache/beam
Dec 2022 - Dec 2024
Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:Back-end Developer
Back-end DeveloperContributions:301 reviews, 101 PRs, 400 comments in 2 years
Contributions summary:Jeff's contributions primarily revolved around enhancing the Apache Beam Python SDK, particularly in the area of YAML-based transform support. They implemented fixes for BigQueryIO compatibility within YAML pipelines, added UDF support to mapping transforms, and normalized JDBC IO configurations. Additionally, the user added support for GCS locations and addressed schema validation issues. The impact of the user's work improves the functionality and usability of Apache Beam for batch and streaming data processing pipelines defined with YAML.
golangpythonstreaming-databeambatch
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