Based on the provided professional summary, here’s a refined version that highlights your extensive experience, skills, and achievements in the field of data engineering and big data technologies:Professional SummaryWith over 10 years of comprehensive experience in the Full Software Development Life Cycle (SDLC), I specialize in designing, developing, and maintaining high-performance multi-tiered web applications. My expertise encompasses a robust understanding of the Hadoop ecosystem, including HDFS, MapReduce, Hive, Pig, Sqoop, HBase, and Spark, along with proficiency in real-time analytics and data streaming. I have hands-on experience in installing, configuring, and administering Hadoop clusters using major distributions such as Hortonworks and Cloudera. My technical skills extend to developing scalable data solutions using Apache Spark with Scala for efficient data processing and transformation. I am adept at utilizing tools like Kafka for real-time data ingestion and Flume for data movement across systems. My achievements include leading the migration of legacy MapReduce jobs to PySpark, enhancing performance by 40%, and developing large-scale ETL workflows that significantly improved data processing speed. I have successfully built real-time streaming data pipelines that drive actionable insights for critical business applications. In addition to my technical capabilities, I possess strong problem-solving and analytical skills, enabling me to make balanced independent decisions. My experience with cloud platforms like AWS and Azure further enhances my ability to implement effective data movement solutions and manage complex ETL processes. I thrive in collaborative environments and have a proven track record as an agile developer, consistently delivering high-quality results while fostering teamwork. My commitment to continuous learning ensures that I stay abreast of industry trends and best practices.