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hi so you work at a venture capital fund as an investor you track the pipeline in a CRM and manage the portfolio and spreadsheets you spend days on creating quarterly reports and continuously prepare different charts and insights for the partners you also use third-party databases such as crunchbase or pitchbook and perhaps a few other tools as well and then you still need this one person who has to put all of these things together manually moving data from several sources into another spreadsheet providing reports and Analytics as the need for this data grows so does the amount of them over and over you have to track Dynamics and revisit the same metric to see how it changes this is not only a boring and time-consuming task but it also leaves a lot of room for error this is where data engineering can help VCS make things a lot easier with automation using an ETL pipeline by setting up an API connection an interface to access data from all sources the data then needs to be transformed
