As a Data Engineer with over 4 years of experience, I specialize in designing, developing, and optimizing data solutions that power data-driven decision-making. My expertise spans across cloud platforms, big data technologies, and orchestration tools, with a focus on Azure cloud services. I am proficient in building scalable data pipelines using Azure Data Factory and Databricks, managing complex data storage in Azure Data Lake Storage Gen2, and automating workflows with Apache Airflow.In my career, I have successfully developed and maintained end-to-end data solutions for industries ranging from manufacturing to e-learning, helping businesses enhance data accuracy, reduce operational costs, and improve decision-making through real-time insights. I am passionate about leveraging tools like Apache Airflow, Docker, and Kubernetes to streamline processes and ensure the reliability of data architectures.Key Expertise:1) Designing and implementing robust ETL pipelines on Azure Data Factory and Databricks2)Managing large datasets in Azure Data Lake Storage Gen2, ensuring efficient data retrieval and storage3)Automating data workflows with Apache Airflow to optimize efficiency and reduce manual intervention4)Leveraging Docker and Kubernetes to ensure scalable deployment of data solutions5)Hands-on experience in real-time data processing using Azure Stream Analytics6)Strong proficiency in SQL, Python (Pandas, Spark), and Power BI for data analytics and visualization