Anusha Gopalareddy

•Designed and automated ETL pipelines in Azure Data Factory and Synapse to integrate sales, purchase, and production datasets, improving reporting reliability and enabling advanced analytics. •Implemented data quality checks and monitoring with Apache Spark notebooks across raw, staged, and curated layers, ensuring accuracy and consistency for analytics and reporting. •Developed Power BI dashboards and KPI reports used across departments, driving adoption and enabling data-driven decision-making.

•Led a data transformation project utilizing Informatica to detect and report suspicious transactions, achieving a 70% reduction in fraudulent activities and identifying approximately 5000 to 8000 fraudulent transactions weekly. •Developed a rectification model to automate the review and correction of rejected transactions, leading to a 60% increase in the recovery of rectifiable cases. •Collaborated across teams and stakeholders to ensure smooth project delivery and process adoption.

•Designed and implemented Azure Data Factory pipelines to migrate critical business data from on-premises PostgreSQL to Azure Database, reducing migration time by 50% and ensuring high data reliability. •Administered linked services and datasets in Azure Data Factory, conducting pipeline testing and monitoring to maintain data integrity and resolve issues quickly. •Led data integration projects using Azure cloud services, delivering scalable andautomated solutions for enterprise clients.

•Managed an end-to-end project for identifying and recovering overpaid insurance claims, cutting costs by 80% and improving financial accuracy significantly. •Automated data workflows in Informatica PowerCenter and scheduled processes using Control-M, enhancing operational efficiency and maintaining data integrity. •Acted as a primary contact for client governance, addressing operational performance, risks, and key challenges in regular stakeholder meetings

•Designed and maintained ETL pipelines to support reporting for retail sales, inventory, and allocation across multiple locations, contributing to a 60% increase in sales process efficiency. •Developed robust data transformation processes and methodologies using Informatica PowerCenter, ensuring data quality and consistency. •Managed version control, implemented job-level enhancements, performed thorough defect analysis, and conducted unit testing to validate changes and deliver stable production releases.

Ongoing thesis in collaboration with AllLabels, Hamburg: "Implementing an MLOps-First Synthetic Data Sandbox for Continuous Innovation in Enterprise AI"