North America's largest packaged ice manufacturer with cloud-native data operations
Reddy Ice operates a distributed manufacturing and logistics network producing over 1.8 million tons of ice annually across North America. The tech stack reveals a deep Azure commitment—Data Factory, Synapse, Databricks, Delta Lake—paired with active migration away from on-premise ETL tools (SSIS, Informatica, SAS). Project roadmap emphasizes operational efficiency (kaizen, value stream mapping, SOP improvements) and data infrastructure modernization (lakehouse models, cloud ETL pipelines), suggesting a manufacturing organization systematically rebuilding its analytics and process-control capabilities around cloud-native tooling.
Reddy Ice manufactures and distributes packaged ice products to convenience stores, restaurants, retailers, and food service operators across the United States, Canada, and Mexico. The company operates a proprietary Ice Factory technology platform and maintains a 24/7 logistics network. Founded in 1972 and headquartered in Dallas, Texas, Reddy Ice employs 1,001–5,000 people. The organization spans operations, manufacturing, logistics, finance, and data functions, with active hiring concentrated in operations and manufacturing roles.
Primary tools: Azure (Data Factory, Synapse, Functions, Logic Apps, Event Hubs), Databricks, Delta Lake, Dynamics 365 (Finance/Operations, CRM), SQL Server, PySpark. Currently replacing legacy SSIS, Informatica, and SAS with cloud-native equivalents.
Kaizen and process improvement initiatives, lakehouse data architecture, cloud ETL/ELT pipeline migration, manufacturing and logistics optimization, safety program implementation, and capital improvement projects.
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