Data Ingest
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• Create pipelines, streams, processes, message brokers, agents, and code to retrieve information from different sources.
• Design and implement data storage of different types, depending on the source.
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Data Transformation
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• Data pre-processing, processing, transformation, normalization, and storage.
• Definition and implementation of highly parallelizable data transformation, normalization and filtering processes.

Data Inspection
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‍• Implementation of tools for early data inspection.
‍• Design and implementation of data warehouses and other report-enabled databases.
• Create and maintain dashboards, control panels, and reports