Rangababu Pothalaboyana

I’m an Azure Data Engineer with overall 5 years of hands-on experience building and managing scalable, secure, high-performance data pipelines and analytics solutions in Microsoft Azure. I focus on end-to-end ETL/ELT workflows that keep data reliable, fast, and ready for decision-making.

In my current role, I designed and implemented modern Lakehouse architectures using Microsoft Fabric, OneLake, ADLS Gen2, Delta Lake, and Azure Synapse Analytics—supporting ACID transactions, schema evolution, and optimized accessibility. I also built and optimized ETL/ELT pipelines using Azure Data Factory, Fabric Data Pipelines, and PySpark for real-time and batch processing.

I’ve strengthened streaming and analytics performance by leveraging Azure Event Hubs and Azure Stream Analytics, and by orchestrating distributed transformations through PySpark in Apache Databricks and Fabric notebooks. I integrate with Power BI to deliver interactive dashboards and reporting that business stakeholders can trust.

Security and governance are central to how I work. I’ve implemented RBAC, Azure Key Vault, and Unity Catalog controls, including encryption, masking, and compliance for PII/GDPR needs, while using CI/CD practices with GitHub, Azure DevOps, and ARM templates to automate data platform infrastructure. I’m also a Databricks Certified Data Engineer Associate.