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When I first started out in my career, I was all about becoming a Data Scientist or ML Engineer. I was super good at Python and SQL, so that’s what I focused on. But then, I realized that I was actually more interested in being a Data Engineer. I love being highly analytical and process-oriented, and I’m really good at using the Microsoft Azure Data Engineering stack. I’m fluent in Python, SQL, and Databricks, and I’m especially good at Big Data tech like Hadoop and Spark (PySpark). I also know a lot about SQL databases (MS SQL, Postgres, Cosmos DB, and Mongo DB), data orchestration with Azure Data Factory, data governance with Microsoft Purview and Unity Catelog, and advanced tools like Azure Synapse Analytics, Delta Lake. I’m really passionate about finding the right solutions to complex challenges, and I’m not afraid to use any technology I need to get the job done. I’m also well-versed in AI technologies like Azure AI Services, Azure Open AI Studio, Scikit-Learn, and Spark ML. I’d love to chat with you and see how my skills can help you with your data engineering needs!