About

Pavan Sharma Kashibhatla is an accomplished and result-oriented data and analytics professional with over 11 years of experience in implementing cloud-native solutions for blue-chip companies across various domains. He has expertise in data warehousing, business intelligence, statistical modeling, predictive analytics, data visualization, project planning, and stakeholder management. Pavan has experience in delivering high business impact projects by contributing to every phase of the project and has attained the status of a trusted advisor. He has led teams of various sizes in implementing solutions right from idea conceptualization all the way till deployments and conducting user training. Empathy is one of the core values that Pavan prioritizes as he strongly believes that most of the problems can be easily solved by visualizing them from the lens of the user. Currently working as a Sr. Engineer, Enterprise Engineering at LinkedIn, Pavan is responsible for building a robust, scalable data platform to power the Global Talent Organization vertical at LinkedIn. He has automated some of the critical workflows related to compliance to generate the outputs in 10% of the original time taken, optimized the legacy data pipelines for better performance, and critically evaluated and strategized the cloud migration to align with LinkedIn's wider strategy. Pavan has received multiple awards and recognition for on-time delivery and effective collaboration. He has worked with Thorogood Associates in the past as a Business Intelligence & Analytics Consultant, Senior Manager, and Delivery Lead. At Thorogood, he developed reporting solutions for risk management teams of one of the global pharma companies, migrated legacy solutions to Azure cloud, and led the company-wide quality and governance team to ensure standards across all solutions delivered. Pavan has a Bachelor of Engineering degree in Computer Science from Visvesvaraya Technological University. He has a strong technology proficiency in Microsoft Business Intelligence stack, Microsoft Azure, Postgres, Pentaho Data Integration, Apache Airflow, Power BI, Tableau, R analytics, and Shell scripting.