I'm an Azure Data Engineer with 5+ years of experience designing scalable data platforms for enterprise-scale workloads. My work spans the full data lifecycle—from building ETL/ELT pipelines in Azure Data Factory to developing real-time processing and Lakehouse solutions using Databricks, Apache Spark, and Azure Synapse. I also build serverless integrations using Azure Functions and Logic Apps. I specialize in: • Designing and optimizing enterprise-scale ETL/ELT pipelines • Building real-time and streaming data processing systems • Architecting Lakehouse solutions on Databricks and Azure Synapse • Developing serverless integrations with Azure Functions and Logic Apps • Optimizing distributed workloads for performance and cost efficiency Through 1:1 sessions, I can help you with: ✅ Azure Data Engineering career guidance and learning roadmaps ✅ Resume, LinkedIn, and portfolio reviews ✅ Mock interviews for Azure Data Factory, Databricks, Spark, Synapse, and PySpark ✅ Real-world pipeline design and architecture discussions ✅ Hands-on troubleshooting for ETL/ELT pipelines and Lakehouse implementations ✅ Performance tuning and best practices for Azure data platforms Whether you're an aspiring Data Engineer, preparing for interviews, or looking for a second opinion on an architecture or implementation challenge, I'd be happy to help you achieve your goals.