Data lakehouse architecture and digital transformation for enterprise
Spadtek is a data and engineering consulting firm built around Databricks and lakehouse architecture (Delta Lake, Unity Catalog, MLflow). The tech stack reveals a hands-on practice: they're designing and implementing production reference architectures, CI/CD pipelines, and identity/secrets management (CyberArk, SailPoint). The hiring velocity is accelerating with mid-to-senior engineers and data specialists, while the pain-point list (legacy data migration, yield and defect reduction, cycle-time optimization) suggests they're solving manufacturing and pharma-grade operational challenges, not generic digital transformation.
Spadtek is a consulting and engineering firm headquartered in Milton, Georgia, founded in 2024. They specialize in data lakehouse design, modern cloud infrastructure (AWS, Azure, GCP), and enterprise digital transformation. The company works with manufacturing and pharmaceutical organizations on data modernization projects, operational efficiency initiatives (yield improvement, defect reduction, cycle-time optimization), and identity/access governance. Projects span production-ready reference architectures, CI/CD pipeline implementation, and pharmaceutical equipment qualification—indicating deep vertical expertise beyond commodity consulting.
Databricks (Delta Lake, MLflow, Unity Catalog, Spark), Terraform, AWS/Azure/GCP, Python, Scala, SQL, Kafka, CyberArk, SailPoint, and T24 banking platform. The stack emphasizes lakehouse architecture and identity governance.
Production-ready lakehouse reference architectures, CI/CD pipelines, yield and defect reduction initiatives, cycle-time optimization, and pharmaceutical equipment commissioning/validation. Also implementing identity governance for production service accounts (CyberArk onboarding).
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