Tejesh Hawaligi

Developed metadata-driven PySpark ETL pipelines to migrate 430M+ transaction records and 700M+ amendment records from MySQL to PostgreSQL, achieving 99.9% data accuracy. Designed and optimized 40+ PostgreSQL stored procedures, reducing manual effort by 80% and improving batch processing efficiency by 50%.

Partnered with stakeholders to define analytics requirements and KPIs, translating business needs into structured analysis deliverables. Developed forecasting models achieving ~88% accuracy and designed interactive dashboards in Power BI/Tableau, reducing stakeholder analysis time.

Translated research findings into actionable insights and presentations for stakeholders. Performed root cause analysis and data validation, improving operational efficiency by 10%.

Partnered with business and technical teams to gather requirements and define scope for SAP and analytics workflows. Delivered 10+ system enhancements and reporting solutions, reducing redundancy by 60% and handling 40+ post-go-live incidents.

Built SQL and Python-based data pipelines, improving forecasting accuracy and reducing delays by 9%. Developed Power BI dashboards and automated reporting, reducing manual effort by 75%.

Pursued a Master's degree in Business Analytics and Project Management, focusing on data-driven decision-making and project management methodologies.

Earned a Bachelor's degree in Electronics and Communication Engineering, covering core engineering principles and communication systems.