About

Swathi Desai is a highly experienced Staff Backend Engineer at Acceldata, with over 10 years of relevant experience in the field. She has previously worked with General Electric as a Senior Data Engineer and a Software Engineer, where she has showcased her expertise in various technologies and platforms. At General Electric, Swathi was involved in the Hortonworks Hadoop Platform set up for GE Finance Data Lake, where she designed strategies to ingest data from Greenplum to Hive and developed a restful platform. She also developed ETL to ingest data onto Sparkline, a Spark-based OLAP Cube and Indexing Platform for faster processing of the data. Swathi converted PostgreSQL procedures and functions based reports to Spark Jobs and was involved in cluster migration from on-premise to AWS platform. She successfully implemented LUKS Full Disk Encryption along with Amazon KMS on the Hadoop Cluster and was involved in decommissioning and recommissioning activities of the nodes of the cluster. Her experience in technologies like Java 8, Scala, Hadoop, Hive, Map Reduce, Spark, HBase, Kafka, AWS, PostgreSQL, and Hortonworks Data Platform makes her a valuable asset to any team. As a Software Engineer at General Electric, Swathi was involved in the development of Java-Spring backend Equipment Finance Platform, where she architected a Java-Spring Restful platform and led a team of 3 to develop and deliver the application. She simplified the batch process to make the system robust enough to accommodate the large units of the clients in a single batch process and was involved in various client assessment and analysis to integrate the clients to the Equipment Finance Platform. Her experience in technologies like Java 8, Spring Boot, Spring MVC, JPA, Hibernate, HTML, CSS, Bootstrap, Angular JS, Javascript, and Oracle makes her a versatile developer. Swathi has a Bachelor's degree in Computer Science from Jawaharlal Nehru National College of Engineering and a Pre-university degree in PCMC from Independent PU Science College. Her tech stack includes Backend, AWS, Spark, Hadoop, Data Engineering, Java, Spring, Kafka, ETL, Apache Hive, Software Engineer, Scala, Javascript, and Spring Boot.