Summary:Highly skilled and results-oriented Senior Azure Data Engineer with 4+ years of experience in designing, developing, and implementing complex data solutions on the Azure cloud platform. Proven track record of delivering scalable and efficient data solutions that drive business insights and enable data-driven decision making. Strong expertise in data integration, data modeling, data warehousing, and big data technologies. Excellent analytical, problem-solving, and communication skills with a deep understanding of the entire data pipeline, from data ingestion to data processing to data visualization.• Designed and implemented end-to-end data solutions on the Azure cloud platform, including data ingestion, data processing, data modeling, and data visualization, for various clients in industries such as finance, healthcare, and retail.• Developed data pipelines using Azure Data Factory to ingest data from various sources, such as on-premises databases, cloud databases, APIs, and file systems, and transformed data using data wrangling techniques and data flow transformations.• Designed and implemented data models for data warehousing and data lake scenarios using Azure Synapse Analytics, Azure SQL Database, and Azure Cosmos DB, ensuring data integrity, data quality, and optimal performance.• Developed big data processing solutions using Apache Spark on Azure Databricks for processing large-scale data sets and performing data analytics, data aggregations, and data transformations.• Implemented real-time data processing solutions using Azure Stream Analytics and Azure Event Hubs for processing streaming data and generating real-time insights.• Collaborated with cross-functional teams, including data scientists, business analysts, and stakeholders, to understand data requirements and deliver data solutions that meet business needs.• Implemented data governance practices, such as data cataloging, data lineage, and data masking, to ensure data security, compliance, and privacy.• Implemented DevOps practices, such as version control, continuous integration, and automated deployments, using Git and Azure DevOps to ensure efficient and reliable delivery of data solutions.• Provided technical leadership and mentoring to junior data engineers, reviewed code and design, and conducted performance tuning and optimization of data solutions.• Kept up-to-date with the latest trends and advancements in data engineering technologies and best practices, and applied them to enhance data solutions and drive innovation.