Sai sri mylavarapu

About

Analytics professional with hands-on experience building SQL and Python workflows across SAP, Oracle, and internal operational systems, processing roughly 5 million records per month. They combine strong data quality rigor with stakeholder-friendly Power BI reporting, and cite a concrete impact of cutting reporting turnaround time from four days to two while surfacing cost anomalies for business teams.

Key Strengths

• Built SQL pipelines integrating SAP, Oracle, and internal operational databases
• Handled large-scale data processing of about 5 million records monthly
• Strong data quality and validation discipline using null checks, range checks, referential integrity, row counts, and sample testing
• Resolved duplicate and inconsistent source data using SQL window functions and mapping tables
• Improved reporting performance through indexing and efficient joins
• Built modular, reusable Python analytics workflows with Airflow scheduling
• Adapted pipelines to changing schemas and business requirements using parameterization and configuration-driven design
• Owned end-to-end analytics delivery from metric definition through dashboard rollout
• Reduced reporting turnaround time from four days to two days
• Identified cost anomalies through segmentation and KPI analysis
• Drove stakeholder alignment and dashboard adoption through regular check-ins and tailored reporting
• Operationalized retention/performance metrics with documented definitions and edge-case handling

Experience

Education

Skills

Languages