Poojitha Vadlamudi

I’m a results-driven Azure Data Engineer with 4+ years of experience designing and implementing scalable data pipelines and analytical platforms in Azure. I build ETL/ELT workflows, perform data transformations with PySpark, and optimize performance for large-scale datasets.

My work centers on Azure Data Factory, Azure Databricks, Synapse Analytics, and Azure Data Lake Storage. I’ve implemented Medallion architecture (Bronze, Silver, Gold), built Delta Lake tables for curated layers, and leveraged Delta Live Tables for near real-time ingestion and validation.

I’m strong in data governance and security, hands-on with Unity Catalog for secure access control, lineage tracking, and role-based access control. I also use Azure Key Vault and establish data quality frameworks, audit logging, and reliable orchestration across pipelines.

I enjoy partnering with analytics teams to deliver curated datasets and Power BI-ready models, while tuning clusters and SQL for measurable gains. In my recent work, I improved pipeline performance by 30% through PySpark job optimization and reduced pipeline failure rate by 25% via improved error handling and monitoring.