Yogesh Karnam

Project: Enterprise Warehouse Operations Analytics Platform

• Led the design and development of enterprise-grade Tableau dashboards and interactive BI reports, providing real-time visibility into warehouse automation KPIs such as order throughput, robotic efficiency, and operational performance.
• Architected and managed Tableau Business Rule Manager, organizing complex business rules, tasks, and field-level logic to standardize reporting definitions across multiple warehouse systems.
• Developed and maintained Tableau code and business rule logic, ensuring consistent KPI calculations, reusable data models, and scalable reporting architecture.
• Built and optimized ETL pipelines using Azure Data Factory and Databricks, processing high-volume IoT and transactional data into structured data marts for analytics consumption.
• Designed and implemented batch processing workflows and data jobs, enabling automated scheduling of data refreshes and ensuring timely data availability for dashboards.
• Engineered and processed test datasets simulating real-world production scenarios, validating data transformations, calculations, and reporting accuracy prior to deployment.
• Applied comprehensive QA methodologies including unit testing, integration testing, regression testing, and defect tracking, ensuring reliability and accuracy of BI systems.
• Deployed interactive Tableau dashboards and reporting interfaces to production environments, ensuring performance optimization, scalability, and seamless user experience.
• Created detailed design and technical documentation, including architecture diagrams, data flow diagrams, interface specifications, network topology, and security models.
• Maintained QA plans, issue logs, and periodic status reports, tracking project progress, defects, and system improvements.
• Delivered training materials and conducted knowledge transfer sessions for business users and operations teams to ensure effective adoption of BI solutions.

Project: Research Data Analytics & Reporting Platform

• Designed and implemented data pipelines and ETL workflows integrating structured and unstructured research datasets into centralized reporting systems.
• Developed Tableau dashboards and analytical reports for research insights, enabling visualization of time-series trends, forecasting outputs, and statistical models.
• Configured and maintained Tableau Business Rule Manager, organizing reporting rules, tasks, and field mappings to ensure consistent analytical outputs.
• Built batch processing jobs and data ingestion workflows, automating data collection and transformation processes.
• Engineered and processed test data scenarios to validate the accuracy of analytical models and reporting logic.
• Performed advanced data validation using SQL and Python, ensuring consistency between source systems and reporting layers.
• Executed QA testing including unit testing, integration testing, and regression testing, validating BI systems under different scenarios.
• Developed technical documentation, including architecture diagrams, data models, and interface specifications.
• Created and delivered training materials, user guides, and knowledge transfer sessions for faculty and operations staff.

Project: Logistics Performance & Shipment Tracking System

• Developed and deployed Tableau dashboards to track shipment status, delivery timelines, and logistics performance KPIs across multiple regions.
• Designed and executed ETL testing strategies, validating data pipelines from ERP, warehouse, and tracking systems into reporting platforms.
• Built complex SQL queries using joins, aggregations, and window functions to validate large-scale logistics datasets.
• Performed data reconciliation testing between multiple systems, identifying discrepancies and ensuring data integrity.
• Engineered and processed test datasets to validate reporting outputs and transformation logic.
• Developed Python-based automation scripts for data validation, reducing manual testing efforts and improving efficiency.
• Applied QA methodologies including regression testing, integration testing, and defect tracking, ensuring system stability.
• Validated batch processing jobs and scheduled workflows, ensuring accurate and timely data updates.
• Maintained detailed issue logs, QA documentation, and status reports, supporting structured testing and reporting processes.
• Collaborated with business stakeholders and technical teams to ensure BI solutions met operational and reporting requirements.

Project: Financial Reporting & Executive Dashboard System

• Designed and developed interactive Tableau dashboards and executive reports for financial analytics, including revenue trends, forecasting, and cost analysis.
• Developed and managed Tableau code and business rule creation, ensuring accurate KPI calculations and standardized reporting logic.
• Organized and maintained Tableau Business Rule Manager, structuring rules, tasks, and field-level configurations for reporting consistency.
• Built ETL workflows and batch data jobs, integrating data from multiple financial systems into a unified reporting layer.
• Engineered and processed test datasets to validate report accuracy before production deployment.
• Performed QA testing including unit testing, integration testing, and regression validation, ensuring correctness of dashboards.
• Optimized Tableau dashboards for performance, scalability, and user experience.
• Deployed dashboards to Tableau Server / Production Environment, enabling enterprise-wide access.
• Created design documentation, technical specifications, and training materials, supporting user adoption and system maintenance.