Prashanth Ramneni

• Around 5years of experience as a Data Engineer with expertise in designing data-intensive applications using Cloud Data engineering, Data Warehouse, Hadoop Ecosystem, Big Data Analytical, Data Visualization, Reporting, and Data Quality solutions. • Engineered enterprise solutions by employing batch processing with Apache Pig and integrating streaming frameworks, including Spark Streaming, Apache Kafka, and Apache Flink. This ensured high throughput and low latency in data processing. • Good knowledge of Big Data technologies, including Hadoop and Spark, alongside HDFS, HBase, MapReduce, Hive, PIG, OOZIE, and SQOOP, to craft scalable data solutions and analytics. • Demonstrated expertise in ETL processes, data warehousing, and big data solutions, with a strong background in SQL, Python, and Spark. • Proficient in leveraging AWS technologies such as S3, Redshift, Glue, EMR, Lambda, and RDS to optimize data workflows and support advanced analytics.