About

Sunil Patil is an experienced Director of Data Engineering and Data Science with over 19 years of relevant experience. Currently, he is working as the Director of Real Estate Knowledge Graph and Data Engineering at Compass, a real estate company that uses technology to help people find their place in the world. At Compass, Sunil is building a cloud-based next-generation data platform and a LinkedIn-like social networking platform for real estate agents to grow their network and business. Prior to his current role, Sunil worked as the Director of Software Development and Architect at PayPal in the Marketing Technology (MarTech) team. He was responsible for hiring data engineers with 2 to 10 years of experience and led the team in developing and executing projects. Before PayPal, Sunil worked as the Head of Software Development for the Data and Analytics platform at Tesco. He led a team of 70 people, including software development managers, Big Data architects, and contractors across three locations. Sunil has extensive experience working with Teradata, one of the best enterprise data warehouse systems, and Hadoop, a modern cost-effective data warehouse solution. He simplified data onboarding by implementing "Ingestion as a Service," an automated way of onboarding data into the data warehouse. He also identified Teradata workloads that can be executed on Hadoop/Spark and built a framework that automatically migrates application pipelines from Teradata to Hadoop. Sunil was responsible for enhancing/maintaining various ML-based forecasting algorithms/models related to the supply chain area. He built a 360-degree view (profile) for various retail entities like customer, store, product, fulfillment, which abstracted low-level details of raw data and presented a single curated data view to the end-user. Sunil holds a Master's degree in Computer Science from the Indian Institute of Technology, Bombay, and a Bachelor of Engineering in Computer Science from Goa College of Engineering. He is proficient in Data Engineering, Data Science, Software Engineering, Hadoop, Spark, Data Warehouse, Java, ML, and Apache Hive.