through ongoing development. Data extraction – Develop new extracts with complete understanding of code formulations. Develop extracts from scratch. System cleaning and stopping extracts that slow the software internal analytics. Perform the recurring client extracts. Dashboards and SFA - Build dashboard according
have worked with Modern Activities within UiPath: Extract Table Data, Get Test, Go to URL, and Highlight have worked with Modern Activities within UiPath: Extract Table Data, Get Test, Reference Number for this
have worked with Modern Activities within UiPath: Extract Table Data, Get Test, Go to URL, and Highlight have worked with Modern Activities within UiPath: Extract Table Data, Get Test, Reference Number for this
tools to uncover insights and trends. 2. Data Extraction: Using ETL / ELT methods and tools like Azure
particularly in Python and SQL, the specialist will extract and analyse large data sets to identify trends Responsibilities: Data Analysis Utilise Python and SQL to extract, clean, and analyse large datasets from various
service-related certificates. Fire equipment / Extraction / Fat Traps and update registers. Request purchase
Functions Effective and efficient customer contact extracting the needs of the customer. Making accurate legible
Tableau, Qlik, etc. Strong SQL skills for data extraction and transformation. Experience with ETL tools
breakdowns and changeovers (lot-end) to limit downtime. Extract and submit sizer reports after every changeover
Applications. Have a high level of competency with data extraction, transformation and loading (ETL) disciplines