About

Jhansi Doddapaneni is a highly dedicated and dynamic Senior Data Engineer with 8 years of development experience in Business Intelligence domain in IT industry. She has proficiency as Hadoop, Python and Teradata developer and excellent knowledge of SQL queries. Jhansi has 5 years of experience providing Big Data solutions using Hadoop 2.x, Spark 2.x, Python, Hive and Apache Sqoop. She has expertise in Big-data HADOOP, HDFS, and other Hadoop Ecosystem components like Hive, Sqoop, Talend. Jhansi has experience in streaming applications using Spark Core, Spark SQL. She has hands-on experience in ETL(Talend) and Data Modelling designing and its data integration with Big Data Hadoop. She has worked on different file formats like JSON, AVRO, Parquet, RC and ORC. Jhansi has good knowledge in analysing and manipulating large data sets including structured and Semi-structured data. Jhansi has worked on all of the life cycles of a project - requirement analysis and effort estimation with the clients, development, testing and migration of the code into production. She has worked on real-time Python projects like Dictionary creation and Maps Creation. Jhansi has optimized and tuned a good amount of SQL queries. She is a self-motivated individual with a passion to do research and implement new ideas. Currently, Jhansi works as a Senior Data Engineer at Wells Fargo. Prior to this, she has worked with JP Morgan as a Software Engineer and Infosys as a Technology Analyst. She completed her Bachelor of Technology (BTech) in Information Technology from JNTU in 2013. Jhansi's tech stack includes Data Engineering, SQL, AWS, Hadoop, Spark, Python, Big Data, HDFS, test, Research Scientist, ETL, Apache Hive, Integration, and Software Engineer. With relevant experience of 8.77 years, Jhansi is a skilled data engineer with a passion for exploring new technologies and implementing them in her work.