Ganesh Bhupathi

Accomplished data professional with over 20 years of experience in data analysis, engineering, and architecture. Expertise in data strategy, product architecture, and security architecture, with a strong focus on Databricks Lakehouse and Medallion Architecture. Proficient in advanced SQL, Python, and PySpark for robust ETL pipeline design. Skilled in data visualisation using Power BI, Tableau, and QlikView to deliver compelling dashboards and reports. Extensive experience with cloud platforms such as AWS and Microsoft Azure. Proven track record in implementing machine learning solutions across retail, telecom, and airlines domains. Committed to leveraging cutting-edge technologies to drive business insights and innovation.

• Microsoft Certified: Power BI Data Analyst Associate
• ThoughtSpot Certified Professional Engineer (CPE)
• Databricks Certified Data Analyst

• Telecommunications: British Telecom (UK), Virgin Media (UK), Motorola (USA)
• Retail: Walmart (USA), ASDA (UK)
• Finance, Insurance: CMEC (UK), AXA Equitable Life Insurance (USA)
• Education: ISP Schools (UK)
• Airlines: easyJet (UK)

• Strong understanding of AI use cases across Retail, Telecom, Airlines and other enterprise domains, including their underlying data models.
• End-to-end knowledge of data pipeline design and development using SQL, Python, PySpark and DBT, including hands-on implementation of Medallion architecture and other ETL architectures, with orchestration via Apache Airflow and other workflow tools.
• Excellent data analysis skills using SQL and Advanced SQL, including source system analysis, combined with strong problem-solving ability and excellent written and verbal communication skills across business and technical audiences.
• Strong expertise in data visualization, with extensive experience designing and delivering insightful, executive-ready dashboards and visual analytics solutions using multiple BI and visualization tools across diverse data domains.
• Experienced working in Agile and Scrum delivery environments, using Jira for sprint planning, backlog management and delivery tracking, with hands-on exposure to MS DevOps for CI/CD and work-item management.
• Good working knowledge of Machine Learning algorithms (e.g. classification, regression, clustering and time-series forecasting) and hands-on experience implementing GenAI use cases, including AI agents and natural-language analytics built within Databricks.
• Strong leadership, communication, and stakeholder management skills, with proven experience leading cross-functional teams, managing client and business expectations, driving end-to-end project delivery, resolving risks and dependencies, mentoring team members, and ensuring high-quality solutions are delivered on time and aligned with business objectives.