IT staffing and enterprise data platform consulting
TekSalt Solutions operates as an IT services and staffing firm with a heavy focus on enterprise data engineering. The tech stack reveals a dual-platform strategy—Microsoft cloud (Dynamics 365, Power BI, Azure Data Factory, Databricks) alongside AWS big-data tools (Spark, Glue, Lake Formation, Athena)—suggesting clients are mid-to-large enterprises managing complex data migrations or multi-cloud deployments. Active projects center on SAP integration, ETL pipeline design, and data governance; the engineering-heavy hiring mix (9 of 15 open roles) indicates scaling delivery capacity rather than product development.
TekSalt Solutions provides IT staffing, technology consulting, and data engineering services to mid-market and Fortune 500 companies across telecommunications, retail, logistics, insurance, financial services, healthcare, and software development. Founded in 2007 and headquartered in Fairborn, Ohio, the firm works with government agencies (U.S. Air Force, Department of Defense) and private-sector clients. Core service areas include enterprise application development, business intelligence, data warehousing, SAP implementations, and operational IT support. The business model combines staff augmentation with fixed-scope consulting engagements, particularly around ETL automation, data governance design, and cloud platform optimization.
TekSalt uses Microsoft Dynamics 365, SQL Server, Power BI, Power Apps, SAP (Ariba, S/4HANA, ERP), AWS (Glue, Lambda, Lake Formation, Athena), Apache Spark, PySpark, Terraform, Jenkins, and Apache Airflow for data and enterprise integration work.
Active projects include SAP Ariba buying and invoicing implementations, ETL logic design, data governance roadmap development, PySpark pipelines on Azure Databricks, and automated Azure Data Factory workflows with error handling.
TekSalt Solutions's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.