Anusha Mutyala

Managed end-to-end data operations for cloud-based data platforms, ensuring high availability, SLA adherence, and reliable daily execution of pipelines. Designed and maintained scalable ETL/ELT pipelines using Informatica IDMC/IICS, DBT, and Azure Data Factory across AWS, Azure, and GCP. Built and optimized Snowflake data warehouses and analytical stores, handling structured and semi-structured data. Implemented continuous data ingestion (Snow pipe) and automated transformation pipelines supporting batch and near real-time processing. Applied data modeling best practices with full documentation of lineage and transformations. Integrated REST/SOAP APIs as source and target systems within Informatica IDMC/IICS data integration workflows. Established data quality and observability frameworks, including validation checks, reconciliation processes, and proactive monitoring. Optimized performance using clustering strategies and query tuning to improve efficiency and reduce compute cost. Enforced data governance and access controls, ensuring compliance with enterprise standards. Collaborated with stakeholders to deliver reliable data products for analytics, reporting, and operational use cases.

Developed embedded C/C++ software for real-time charging and communication systems across multiple hardware platforms. Led data warehouse modernization, migrating legacy ETL systems to cloud-based Snowflake architecture. Developed and maintained robust ETL/ELT pipelines integrating data from AWS, Azure, and GCP environments. Integrated data across cloud, on-premises, database, file, and application sources using Informatica IDMC/IICS and PowerCenter. Built analytical data models and transformation layers using DBT for reporting and analytics. Implemented data governance, validation, and reconciliation frameworks ensuring consistency and audit readiness. Designed and managed CI/CD pipelines using Azure DevOps for automated deployments. Applied row-level security and access controls to protect sensitive data.