Scale By The Bay 2019: Rashmi Shamprasad Interview

[Music] I'm Rashmi sham Prasad I am a senior I'm Rashmi sham Prasad I am a senior data engineer with the data science and data engineer with the data science and engineering team at Netflix so it is my first time both speaking and so it is my first time both speaking and attendings killed by the way so I'm attendings killed by the way so I'm super excited about it super excited about it we actually heard about it from our we actually heard about it from our manager who is a regular attendee here manager who is a regular attendee here so that's how we can find out [Music] so our talk basically talks about how we so our talk basically talks about how we solved a problem with most data solved a problem with most data engineers or analysts run into on a engineers or analysts run into on a day-to-day basis but there's no good day-to-day basis but there's no good known open-source solution out there and known open-source solution out there and we were able to come up with a solution we were able to come up with a solution for it and hope to open-source it and for it and hope to open-source it and share it with the community so we wanted share it with the community so we wanted to share the details of it and at some to share the details of it and at some point of time also maybe get some point of time also maybe get some interest going in for the contributions interest going in for the contributions from just outside of Netflix so I am one of the data engineers on the so I am one of the data engineers on the growth data engineering team so what I growth data engineering team so what I focus on mostly is around things that focus on mostly is around things that involve acquisition and experimentation involve acquisition and experimentation for people who are about to join Netflix for people who are about to join Netflix or who want to join Netflix as members or who want to join Netflix as members and so a lot of my work involves putting and so a lot of my work involves putting all of these datasets together so that all of these datasets together so that we can find the best possible experience we can find the best possible experience that we could offer users and so that that we could offer users and so that they can start enjoying all the movies they can start enjoying all the movies and TV shows that we have at Netflix so and TV shows that we have at Netflix so I think that's a big way in which we I think that's a big way in which we influence and we see that effect almost influence and we see that effect almost immediately I haven't looked at all of the talks he I haven't looked at all of the talks he act but I'm suddenly interested in more act but I'm suddenly interested in more of the scholar track-based talks and of the scholar track-based talks and anything that's more data oriented so anything that's more data oriented so I'm going to go and check out the index I'm going to go and check out the index of all of the talks that's out there in really bullish about the way ai and ml really bullish about the way ai and ml in general is shaping up and how that in general is shaping up and how that might be dictating probably the next might be dictating probably the next five years of how we do things in the five years of how we do things in the data space in general some very excited data space in general some very excited to see where that goes I think so this is my first time I think so this is my first time attending so in fairness like I'm attending so in fairness like I'm probably not the best person to evaluate probably not the best person to evaluate which are the best features I am like I which are the best features I am like I come from a data background so I would come from a data background so I would like to see a lot more detox I know we like to see a lot more detox I know we are doing a mix of AI and ml and Scala are doing a mix of AI and ml and Scala and data and so as a data person I would and data and so as a data person I would like to see more data talk so but I'm like to see more data talk so but I'm looking forward to enjoy the rest of the looking forward to enjoy the rest of the conference to see you know what I can conference to see you know what I can get out of it and obviously the videos get out of it and obviously the videos and all of their for reference whenever and all of their for reference whenever we need to [Music]