About

Sanket More is an experienced Video Engineer with a focus on live streaming technology. He is skilled in various protocols such as HLS, DASH, RTMP, MPEG-4, VOD, IPTV, and Live Video Streaming. He has worked with Dream 11 (Fan code) tech team as a streaming broadcast engineer and is currently working with Sonyliv Sports & Vod team as a streaming broadcast engineer. In his current role, he takes care of all technical support, solves day-to-day hardware & software-related problems, and is hands-on with AWS elemental live, Media package, Media live, Media convert, S3, etc. He coordinates with Akamai/cloudfront CDN related problems and raises queries with the team. He also monitors CONVIVA portal to identify major issues in both LIVE/VOD content. Sanket has worked with Planetcast Media Services Limited as a live streaming engineer with SONY LIV (sport) & Fan code (dream 11) team, successfully delivered T10 League, EURO 2020, UEFA league, NBA for Sony. He has knowledge of all live streaming protocols like RTMP, HLS, DASH & H.264 codec. He has also worked with Prime Focus Technologies as a live video streaming engineer for the HOTSTAR app, where they streamed all live sports for the Hotstar app like WC 2019, IPL18-19, EPL, BWF, Bundesliga. They also successfully and securely streamed "Games of Thrones end game" series. He has hands-on experience of DASH, HLS & DRM protocol, and also done Live event streaming from the venue like "Lakme Fashion Week." He has good knowledge and hands-on experience of Linux, AWS Cloud services. Sanket has completed his education in Fundamentals of Python from Amity University, Mumbai, and Linux fundamentals from Udemy. He has also completed Cybersecurity and Artificial intelligence & machine learning from Amity University, Mumbai. He has a Diploma in Electronics & Telecommunication and an Associate's degree from AWS. He has also completed BE Electronics and Telecommunication from Mumbai University with a focus on Broadcasting, OTT, media sector. Sanket's tech stack includes AWS, Python, ML, and Azure, and he has relevant experience of 4.70 years.