Using ETL / ELT methods and tools like Azure Data Factory and Synapse. 3. Data Visualization: Creating visualizations streamline workflows. 9. Microsoft Azure 10. Data factories 11. MS Fabric The post Data Consultant appeared
involving heavy manufacturing processes incl. cutting, bending, chamfering, boiler making, and welding regarding all related aspects. Undertake site / factory visits to ascertain a deeper understanding of project
of production to the Factory Manager on a daily basis.
Utilising Shears, Power Saws, Cutting Torches & Chipper knives to cut Structural components Diagnostic
activities Cost Containment Complete various Factory Projects & Installations to scope of work
Oversee annual SOP training for all staff in the factory, preferably in January/February. Quality control Sage 300. Oversee on-the-job training for both factory and office staff, including monitoring and evaluation
Oversee annual SOP training for all staff in the factory, preferably in January/February. Quality control Sage 300. Oversee on-the-job training for both factory and office staff, including monitoring and evaluation
known for its innovative approach to providing cutting-edge solutions in the realm of IT and networking
the fabrication process when required, including cutting, grinding, and assembling metal components. Qualifications:
knowledge in Azure data services including Azure Data Factory, Azure Databricks, Data Lake, SQL Databases, Azure