Bharath Battipally

Business Intelligence Engineer with experience in SQL, Python, AWS, Redshift, and data visualization tools including Amazon QuickSight and Oracle BI Publisher. Skilled in building ETL pipelines, automating reporting workflows, optimizing large-scale datasets, and developing data-driven dashboards to support business decisions. Experienced in analyzing millions of records, improving operational efficiency, and collaborating with cross-functional stakeholders to deliver scalable analytics solutions.

Software Engineer at ACCENTURE (2024-05 – Present)

• Developed and deployed Oracle BI Publisher reports and automated reporting workflows, improving reporting efficiency and stakeholder visibility.
• Wrote and optimized complex SQL queries for large Oracle datasets, improving report performance and enabling faster business insights.
• Utilized Python scripts for data validation, cleansing, and reconciliation between source systems and BI reports, reducing reporting inaccuracies.
• Collaborated with business stakeholders to gather reporting requirements, define KPIs, and deliver scalable analytics solutions.
• Leveraged AI-assisted development tools such as GitHub Copilot and Cursor AI to accelerate SQL optimization and improve development productivity.

Software Engineer Intern at INNOMATICS RESEARCH LABS (2023-11 – 2024-04)

• Integrated REST APIs and backend services to enable real-time data communication and analytics workflows.
• Implemented server-side business logic using Node.js and supported data-driven application functionality.
• Developed responsive front-end interfaces, improving application usability and accessibility across devices.

Application Engineer Intern at AMAZON (2023-01 – 2023-06)

• Developed Python-based automation solutions utilizing ML models to identify catalog defects across millions of ASINs, reducing operational costs by 40%.
• Designed and optimized Amazon Redshift tables and SQL workflows, improving data loading performance by 30% for large-scale datasets.
• Built Amazon QuickSight dashboards to analyze weekly defect trends across 100M+ ASINs, improving operational decision-making by 28%.
• Worked with cross-functional Amazon teams to define metrics, analyze business problems, and deliver actionable insights for Last Mile Quality operations.
• Supported scalable analytics workflows using AWS services including S3, Redshift, and QuickSight.

Bachelor's of Engineering in ECE – Chaitanya Bharathi Institute of Technology (2019-08 – 2023-05)