About

Sourabh Shegaonkar is a highly skilled Big Data Engineer with over 10 years of experience in designing and building systems on Big data platforms to enable clients to efficiently solve business problems. He has versatile experience in implementing enterprise platforms like Data Lakes involving building pipelines for consuming all kinds of organizational data and engineering solutions for BI, analytical, business reporting, and regulatory needs. Sourabh has extensive hands-on experience with the Hadoop ecosystem, Spark, Nifi, and AWS, making him an expert in the field. He possesses excellent business understanding, analytical, and problem-solving skills, which enables him to deliver high-quality solutions to clients. He is keen on always learning new technologies in the fast-paced evolution of Big Data technologies and rapidly develops re-usable components using various tools. Currently, Sourabh works as a Principal Consultant at PwC, where he is part of the Data & Analytics team, which focuses on optimizing data assets of large organizations, thereby helping them to discover new business opportunities from the immense data they already own. He has played a key role in designing and implementing ingestion and processing frameworks for Data Lakes at multiple client environments. These Data Lakes enabled business users with a centralized enterprise platform that helped solve many business problems like report generation, data exploration, real-time solutions, machine learning use cases, statistical analysis, improving data quality, and storage archival. Prior to PwC, Sourabh worked as a Senior Executive at Deloitte, where he was part of the Data Analytics team. His role here was to build solutions to showcase Big Data capabilities in various domains. He was responsible for building use cases to help sell their competencies in the market. As part of this journey, he explored and self-learned various tools for implementing solutions. He built solutions like Document Storage solution Solr & HBase, Universal Data Profiler, and Advanced Analytics using Spark PoC. He also worked on projects for banking clients for improving product penetration, identifying actionable opportunities, and enhancing strategies for new customers. Sourabh holds a Bachelor of Engineering (B.E.) degree in Computer Engineering from the University of Mumbai. He also has a bachelor's degree from Lokmanya Tilak College of Engineering and has attended Fr. Agnel Multipurpose School. His technical skills include Big Data, Data Engineering, AWS, Spark, Hadoop, and ML. With his vast experience, skills, and knowledge, Sourabh is a valuable asset to any organization.