About

Santhosh Kumar is a data-savvy techno-functional leader with over 19 years of experience in data warehousing, business intelligence, and data analytics. He is a solutions-focused, team-oriented, and self-driven hands-on data analytics solutions architect with a proven track record in delivering complex solutions and driving business value. Santhosh has solid business acumen and subject matter expertise in finance, sales, revenue, expense, customer service, product, and customer master data. He is a trusted and respected mentor with outstanding problem-solving skills. Santhosh has the ability to lead through ambiguity and change, with excellent people and stakeholder management skills. He is an empathetic listener and pragmatic speaker blended with interpersonal and conflict resolution skills. Santhosh has successfully implemented high-performing data warehouse and BI solutions catering to global users. He has experience with cloud analytical solution implementation on GCP and end-to-end knowledge of SDLC, from project ideation till operationalization, leading DevOps teams. Santhosh is highly skilled at automation, performance and process optimization, data integration, web services, data modeling, infrastructure planning, and platform management. He has technical competencies in data integration tools such as SAS DI Studio, Informatica, Python, SQL & PLSQL, Teradata Utilities, Kafka, and databases such as Oracle, Teradata, PostgreSQL, MongoDB. He has exposure to BI tools such as SAP Business Objects, SAS Web Report Studio, OBIEE, and BRMS solutions such as SAS Decision Manager, RedHat Drools. Santhosh also has experience with scheduling tools such as IBM LSF, Cisco Tidal, Control-M, Oracle Concurrent Manager, and programming knowledge in SQL & PLSQL, Base SAS, Python, Shell Scripting, Teradata BTEQ, IT infrastructure planning, platform management, and optimization, and good Linux/UNIX systems knowledge. Currently, Santhosh is working as a Solutions Architect at Hewlett Packard and has previously worked as a Sr. Data Engineer and Sr. IT Engineer at Cisco. At Cisco, he delivered data analytics solutions for Cisco Finance's Revenue domain and led the architecture and delivery of data analytical solutions on Google Cloud Platform's BigQuery, DataPrep, Looker, etc., Red Hat Drools Engine, Python. He also worked as a Technical Lead in Revenue Attribution program built on the SAS platform, enabling systematic/scalable revenue recognition, attribution, and revenue transfer capabilities that support Cisco’s internal management reporting as well