Mike Sindelar
Senior Production Planner at Tyson Foods
Pea Ridge, Arkansas, United States
Summary
🤩
Rockstar🎓
Top SchoolMike Sindelar is a seasoned production planner and operations professional with 10 years of experience and a decade-plus background in industrial maintenance, logistics, and property management. Currently a Senior Production Planner at Tyson Foods, he blends hands-on knowledge from 10 years as an industrial electrician with practical supply chain and inventory management experience gained managing warehouses and shipping operations. Mike contributes to data engineering in open-source—improving reliability and S3/Elasticsearch indexing in the Quilt data mesh project—bringing a pragmatic, troubleshooting mindset to data pipelines. Based in Pea Ridge, Arkansas, he’s comfortable translating field-level constraints into production schedules and process improvements. His rare mix of electrical trade skills, hands-on warehouse leadership, and experience tuning data processing pipelines helps him spot operational inefficiencies others miss.
10 years of coding experience
9 years of employment as a software developer
North High SchoolAssociate of Applied Sciences, Associate of Applied Sciences at Western Iowa Tech Community College
Github Skills (20)
data-pipelines10
python10
data-engineering10
amazon-elasticsearch10
elasticsearchquery10
aws10
aws-elasticsearch10
amazon-s310
aws-s310
elasticsearch10
data-pipeline10
s3-bucket10
elasticsearch-api10
data-versioning9
parquet8
Programming languages (6)
Github contributions (5)
quiltdata/quilt
Nov 2018 - Oct 2019
Quilt is a data mesh for connecting people with actionable data
Role in this project:
Data Engineer
Data EngineerContributions:1 release, 35 commits, 37 PRs in 11 months
Contributions summary:Mike primarily focused on enhancing the data indexing pipeline within the Quilt project. Their contributions involved fixing bugs related to S3 and Elastic calls in the indexer, improving error handling, and optimizing code. They addressed issues with null metadata, implemented more aggressive checks for data types, and fixed a bug in the S3 List Packages implementation. These changes collectively improved the reliability and efficiency of data processing.
data-version-controlmeshdata-versioningdatapython
stevededalus/dotty
Nov 2017 - Jan 2018
Contributions:2 pushes, 1 branch in 2 months
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