About

Dasari Laxminaresh is a seasoned Senior Data Engineer with over 10 years of relevant experience in the field of Data Engineering and Big Data. He is currently working as a Senior Data Engineer at Rapido, where he is responsible for building scalable and efficient big data pipelines using Hadoop, Spark, Flink, Hive, Sqoop, Oozie, Kafka, Hbase, Airflow, and Presto. Laxminaresh is a passionate coder and data enthusiast who has worked on various big data technologies and frameworks. He has a strong understanding of data management, processing, and analysis, which makes him an expert in his field. He has also worked with popular programming languages like Java and Spring. Prior to joining Rapido, Laxminaresh worked as an Engineer II, Data & Analytics at McAfee and as a Software Engineer, Big Data at Yodlee. He has gained significant experience in designing and developing data pipelines, building data warehouses, and working with large and complex datasets. Laxminaresh holds a Bachelor of Technology degree in Computer Science from Geetanjali College of Engineering & Technology. He has also gained expertise in various big data technologies like Spark, Apache Airflow, Hadoop, Kafka, and Apache Hive. In summary, Laxminaresh is a highly skilled Senior Data Engineer with a strong passion for coding and data. He has gained significant experience in building scalable and efficient big data pipelines and working with various big data technologies. His expertise in data engineering and big data makes him an asset to any organization.