Poultry and processed-meat producer scaling operations through data and automation
Natto is a 1,000+ person meat-processing company in Brazil modernizing through Power Platform automation and SAP/TOTVS systems while building out data infrastructure (Python, dbt, Apache Airflow, Metabase). The hiring mix—heavy in ops, with emerging data and engineering teams—reflects active digital transformation work: financial reporting automation, KPI dashboards, and cold-chain logistics optimization. Pain points around inventory shrinkage, data governance, and rework suggest the company is moving from manual processes toward systematized, metrics-driven operations.
Notable leadership hires: Maintenance Lead
Natto manufactures chicken, sausage, and prepared meat products for Brazilian consumers. Founded in 1997 and headquartered in Recife, Pernambuco, the company operates at scale across production, logistics, and distribution. Internally, they are executing a multi-phased digital transformation: migrating core systems to SAP/TOTVS, automating workflows via Power Apps and Power Automate, and establishing data pipelines and BI infrastructure. Current work spans capex budgeting, maintenance process improvement, cold-chain logistics, and financial governance—all areas where they are systematizing previously manual or fragmented operations.
Core systems: SAP, TOTVS. Data layer: Python, Apache Airflow, dbt, PostgreSQL, SQL Server, Metabase. Automation: Power Platform (Power Apps, Power Automate, Power BI). Collaboration: Teams, SharePoint, GitHub, GitLab. Also uses Excel, Visio, Lucidchart, Bizagi for process modeling.
Digital transformation initiatives including SAP/TOTVS implementation, Power Platform automation for finance and operations, BI dashboard development, process standardization and KPI frameworks, cold-chain logistics optimization, and inventory shrinkage reduction.
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