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I am a solution-driven Data Engineer with a robust background in designing and implementing advanced data solutions within AWS cloud environments. My technical proficiency spans a comprehensive suite of tools, including PySpark, AWS Glue, and Informatica, allowing me to efficiently extract, transform, and load data across diverse systems. My expertise extends to managing cloud services and data warehousing solutions such as AWS (S3, Redshift, DynamoDB) and Snowflake, ensuring optimized data storage, processing, and retrieval.My skill set is further enhanced by my ability to leverage big data tools like Hadoop, Apache Spark, and Hive to develop custom Spark REPL applications and sophisticated ETL pipelines that support advanced data workflows. A key highlight of my career includes utilizing sentiment analysis with BERT to enhance customer service ratings by 30%, providing actionable feedback that directly improved service delivery.Proficient in a range of programming languages, including Python (PySpark), SQL, and Java, I am also well-versed in data visualization and business intelligence. I have developed and deployed over 15 dynamic Power BI dashboards, which have significantly reduced end-user data analysis time by 30%, thereby accelerating decision-making processes.With a solid command over database query languages like T-SQL, PLSQL, and NoSQL, as well as tools such as Talend, SSIS, and DataStage, I easily handle complex data challenges. My experience in machine learning and deep learning, particularly in applying pre-trained BERT models for sentiment analysis, underscores my capability to integrate cutting-edge technologies to enhance business operations.I am committed to leveraging my deep technical expertise and analytical skills to help organizations transform their data into powerful insights that drive strategic decisions and achieve business objectives.