bring ideas to life.
incidents), Information, Clean-up, Importation and Clean-up (Facilitation of data clean-up, Importation of
ensuring accuracy and completeness. Data Cleaning: Pre-process and clean data to prepare it for analysis, which
effectively Data Cleaning:
productivity and quality. Clean Architecture and DDD Implement and advocate for Clean Architecture principles
individual must be comfortable working with Big Data and clean, analyse, interpret, and report back on large data Costing/Pricing for RFQ's and existing clients Data Cleaning & Analytics
database.
source, extract, collate, clean and redesign relevant data; queries, cleans & mines large data sets;
Swift for iOS.
Power BI, Excel, BigQuery and other tools for data cleaning, report generation and analysis Finding data quality to solve data-related problems Skilled at data cleaning, aggregation, and the automation of repetitive data processing principles, data warehousing, cleaning, ETL and building scalable models and data pipelines