Jaswanthi Adla

Background

About Jaswanthi Adla

I am a highly skilled Azure Data Engineer with 11 years of experience in designing, implementing, and optimizing cloud-based data platforms and DevOps solutions. My expertise in Microsoft Azure has enabled me to build and deploy scalable, secure, and high-performance data pipelines that efficiently move large volumes of structured and unstructured data across cloud environments. I have deep expertise in Azure services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure Analysis Services, Azure Blob Storage, and Azure Cosmos DB. My experience extends to DevOps practices, leveraging Azure DevOps, Terraform, GitHub Actions, and CI/CD automation to enhance infrastructure provisioning, deployment efficiency, datasphere, and system reliability. Microsoft Fabric: Cloud Adoption Framework, Cloud Scale Analytics, Azure Landing Zone Data Factory, Data Engineering, Data Warehouse, Semantic Models, Integration & Extensibility, Data Science, Real-Time Analytics, Power BI (Business Intelligence), OneLake (Unified Data Lake), Security & Governance, Copilot and AI Integration Expert level knowledge on below azure services Data Ingestion: Azure Data Factory, Event Hubs, IoT Hub, Databricks Data Storage: Blob Storage, Data Lake Storage, Cosmos DB, SQL Database, Synapse Analytics Data Processing: Data Factory, Databricks, HDInsight, Stream Analytics Analytics & BI: Synapse Analytics, Power BI, Analysis Services Machine Learning: Azure ML, Databricks, Cognitive Services Security & Monitoring: Key Vault, Active Directory, Security Center, Monitor Cost Optimization: Cost Management, Blob Storage Tiers, Reserved Instances Governance: Purview, Data Catalog, Azure Policy