Likitha Reddy Email & Phone Number

•Experienced Data Engineer known for high productivity and efficiency in task completion. Specialized in project development, implementation, deployment, and maintenance using Big Data technologies in designing and implementing complete end-to-end Hadoop based data analytical solutions using HDFS, MapReduce, Spark, Scala, Yarn, Kafka, PIG, HIVE, Sqoop, Flume, Oozie, Impala, HBase.• Experience in working with different Hadoop distributions like CDH and Hortonworks. • Experienced with the Spark improving the performance and optimization of the existing algorithms in Hadoop using Spark Context, Spark-SQL, Data Frame, Pair RDD's, Spark YARN.• Having proficient experience in various Big Data technologies like Hadoop, Apache Nifi, Hive Query Language, HBase NoSQL database, Sqoop, Spark, Scala, OOZIE and Pig. Oracle Database and Unix shell Scripting technologies.• Implemented Enterprise Data Lakes using Apache Nifi.• Developed and designed Microservices components for the business by using Spring Boot.• Experience developing Pig Latin and HiveQL scripts for Data Analysis and ETL purposes and extended the default functionality by writing User Defined Functions (UDFs), User Defined Aggregate Function (UDAFs) for custom data specific processing. • Strong Knowledge on Architecture of Distributed systems and parallel processing, In-depth understanding of MapReduce programing paradigm and Spark execution framework. • Good experience in creating data ingestion pipelines, data transformations, data management, data governance and real time streaming at an enterprise level.• Expert in working with Hive data warehouse tool-creating tables, data distribution by implementing partitioning and bucketing, writing, and optimizing the HiveQL queries. • In depth understanding of Hadoop Architecture and its various components such as Resource Manager, Application Master, Name Node, Data Node, HBase design principles etc. • Experience developing iterative algorithms using Spark Streaming in Scala and Python to builds near real-time dashboards. • Experience with migrating data to and from RDBMS and unstructured sources into HDFS using Sqoop. • Excellent Programming skills at a higher level of abstraction using Scala, Java, and Python.• Experience in job workflow scheduling and monitoring tools like Oozie and good knowledge on Zookeeper. • Profound understanding of Partitions and Bucketing concepts in Hive and designed both Managed and External tables in Hive to optimize performance. • Worked on NoSQL databases including HBase and Mongo DB.

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  Southeast Missouri State University

  Computer Science