Naveen Kumar Pydisetti
Assistant Vice President @JPMorganChase
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WORK HISTORY
Assistant Vice President @JPMorganChase
Bengaluru, IN
As part of US Reg reporting team I am responsible for design and hands-on development of Firms regulatoryreporting Suite (6G, LCR, NSFR, STWF) and associated software components to meet the Firms.regulatory compliance obligations using Java 8, Oracle Exadata and Cloudera Big data Stack for Hadoop(Spark 2, Hive, Impala, HBase), Tableau, Scala, Spring (MVC, Core, JPA, Data, Cloud).Involved in delivering the Firms Available collateral calculators suite and Regulatory reports for North America,APAC and EMEA markets.Performed regular data validation and cleansing, optimising database quality standards.Worked closely with various departments to verify database operation maintains alignment with companystandards.
EDUCATION
Jawaharlal Nehru Technological University, Kakinada
Bachelor’s Degree, Electrical and Electronics Engineering
ABOUT NAVEEN KUMAR PYDISETTI
Technically accomplished professional with 8 years of IT industry experience in Big Data Eco systems likeHadoop/Spark/Kafka in ingestion, storage, querying, processing and analysis of Big Data. Experience withdistributed systems, large-scale non-relational data stores, RDBMS, NoSQL map- Reduce systems, data modeling,database performance, and multi-terabyte data warehouses.Excellent understanding / knowledge of Hadoop architecture and various components such as HDFS, JobTracker, Task Tracker, Name Node, Data Node and Map Reduce programming paradigm. Experience in sparkenvironment.Experience in scala programming. Hands-on experience in Spark components like Spark-Core, Spark-SQL,Spark-HQL and knowledge on Spark MLib.Good Knowledge on Graph data processing using Spark Graphx. Worked on creating the RDDs, DFs for therequired input data and performed the data transformations using Spark-core.In-depth knowledge and hands-on experience in dealing with Apache Hadoop components like HDFS, MapReduce, Pig, Hive, Sqoop, Oozie, Flume, Kafka.Hands on experience in writing Pig & Hive scripts.Extending Hive and Pig core functionality by writing custom UDFs. Experience in importing and exporting datausing Sqoop from Relational Database Systems to HDFS.Loaded streaming data from various webservers into HDFS using Flume and Kafka. Experience in building Pigscripts to extract, transform and load data onto HDFS for processing.Experience in writing HiveQL queries to store processed data into Hive tables for analysis. Excellent understandingand knowledge of NoSql databases like HBase and Cassandra.Good experience on Spark Streaming with Kafka.Good Knowledge of Sequence, Parquet, Avro and ORC file formats.Proficient in using RDBMS concepts with Oracle, SQL Server and MySQL.Worked extensively with CDH4, CDH5.Knowledge in Core Java. Experience in Implementing and scheduling jobs in Talend.Experience in Implementing and scheduling jobs in Oozie.Knowledge on implementing Machine Learning, Recommender Engine algorithms using R Language, Pythonand SparkLib.Good knowledge in Statistics and Mathematics.Quick learning skills and effective team spirit with good communication skills.Strong analytical and Problem-solving skills.
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