About

Ramakrishna Venkataraman is a highly experienced Big Data Architect, Designer, and Data Modeler with over 26 years of industry experience. He specializes in developing generic, model-driven frameworks that have significantly reduced the implementation time of several fully-functional data warehouses and data lakes on ever-changing technologies. Ramakrishna has a strong track record of delivering enterprise-class solutions that demonstrate how to design systems that exploit the scale, performance, and resilience of Hadoop products while ensuring rigorous data quality and integrity. Ramakrishna recently launched a model-driven data lake for 'Marcus by Goldman Sachs' that seamlessly integrates data from internal and external sources, such as credit bureaus, rating agencies, clickstreams, and internal ledgers, in a single repository. This system enables data scientists, campaign managers, product owners, and regulatory teams to operate as one nimble team that can sense and respond to customer needs rapidly. Prior to that, he designed and delivered a 600+TB data lake for Securities Division to capture trades, gross commissions, P&L, inquiries, holdings, etc., integrated with internal and external reference data. This system has been in production for over 5 years now and is built on an elastic HBase persistence layer. It is made up of an Inmon-style data warehouse complemented with a set of Kimball-style data marts. Ramakrishna is passionate about data modeling techniques and believes that they become more, not less, important in an organization's quest to tame data mountains. He has repeatedly shown how this can be achieved with the right separation of logical and physical constructs to assist human and machine learning alike. He is particularly passionate about performance benchmarking and tuning of data-centric applications, be it on DB2, Spark, Sybase IQ, Oracle, Presto, Hive, Map Reduce, Pig Latin, etc. Ramakrishna has successfully delivered many large data migration and reconciliation projects and has worked with top companies like Goldman Sachs and Citi. He holds a Master of Engineering (MEng) degree from the Indian Institute of Science (IISC) and a Bachelor of Engineering (BE) degree in Mechanical Engineering from the National Institute of Technology Karnataka (NIT). Ramakrishna's tech stack includes Big Data, Senior Software Engineer, Designer, Spark, Data Warehouse, ML, Hadoop, and Apache Hive. With 27.63 years of relevant experience, Ramakrishna is an asset to any organization looking for a seasoned Big