I am a dedicated Big Data Engineer with over 5 years of hands-on experience in crafting scalable data architectures and driving data-centric solutions. My passion lies in harnessing the power of data to fuel strategic decision-making and operational efficiency. Expert in designing and maintaining robust data pipelines using Cloudera Hadoop, Apache Spark, Azure, and Kafka.Technical Expertise:Programming Languages: Python, SQL, ScalaBig Data Technologies: Apache Spark, Apache Kafka, Spark Structured StreamingCloud Platforms: Azure (Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage Gen2, Azure DevOps, Azure SQL Database)Database Systems: SQL Server, OracleETL Processes: Comprehensive experience in ETL (Extract, Transform, Load) and data integrationData Warehousing: Proficient in data warehousing and dimensional modelingProject Management Tools: JiraMethodologies: Agile, DevOpsProfessional Philosophy:I believe in the transformative power of data. My approach integrates deep technical expertise with a keen understanding of business needs, ensuring that data solutions not only meet but exceed expectations. I am committed to continuous learning and staying ahead of the curve in big data technologies.Career Vision:I aim to continue evolving as a Big Data Engineer, contributing to groundbreaking projects that drive business success and innovation. My goal is to work with forward-thinking organizations that value data as a key asset in their strategic arsenal.