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• Post :- 27th Feb 2025

Interface with engineering teams to service their request related to providing correct data from various data sources.
•    Once the source of data is known, collection of the data can require numerous forms of extraction techniques that usually come in the form of writing queries (SQL or Splunk) as well as custom programming scripts (Python).
•    After the data is extracted, the data can be stored and presented in various formats.
•    These can include, and are not limited to: spreadsheets, database tables, custom dashboards accessible by the consumers of the data, Tableau, keynote presentations, charts/graphs, and various other formats.