SRI SOWMYA TEJASWINI ALLUMALLU

Worked as a System Engineer with 4.6 years of experience in IT operations and support.
Maintained and managed enterprise data according to defined data properties and standards.
Validated and verified data quality, accuracy, and consistency across systems.

Design, develop, and maintain highly scalable and optimized ETL pipelines using SQL and PySpark on the Cloudera Data Platform ensuring data integrity and accuracy.
Designed and implemented end-to-end data migration pipelines using Azure Data Factory (ADF) to move data from on-premise SQL Server / legacy systems to Azure Data Lake Storage Gen2.
Optimized Spark jobs through partitioning, caching, and cluster configuration tuning to improve processing performance.
Developed scalable data transformation workflows using Azure Databricks (PySpark / SQL) for large-scale data processing.
Data ingestion, data transformation, processing, and CI/CD pipeline development.
Planned and executed migration of on-premises databases to Microsoft Azure with minimal downtime.
Performed assessment of source databases and selected appropriate Azure services.
Executed both online and offline migration strategies using Azure Database Migration Service and Azure Data Factory.
Ensured data consistency, performance optimization, and data security.
Achieved cost savings and improved system reliability through cloud optimization.
Implemented data quality checks, monitoring, and validation routines to ensure data accuracy throughout the pipeline.

Monitored system and batch jobs across APAC, EMEA, and US regions.
Analyzed and resolved job failures using SQL queries in SQL Server Management Studio.
Interacted with customers for ticket resolution and ensured SLA compliance.
Configure and troubleshoot enterprise firewalls and VPNs.
Assisting in deploying secure network protocols and communicating with team members to ensure network security and uptime.
Monitoring network traffic for security breaches and take necessary actions.