LALITH NANDAN CHANDU
big data developer at jpmorgan chase & co @ JPMorgan Chase & Co.
Atlanta, Georgia, United States
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LALITH NANDAN CHANDU is an experienced IT professional with 11.4 years of work experience. He has a strong understanding of Hadoop architecture and Python, as well as expertise in various components such as HDFS, Job Tracker, Task Tracker, Name Node, and Data Node. LALITH NANDAN CHANDU has worked in cross-platform integration and has experience with Hadoop ecosystems like Map Reduce, HIVE, PIG, SQOOP, and FLUME. He is skilled in data ingestion, scheduling, and orchestrating Spark and Hadoop jobs using workflows like Oozie and Control-M. LALITH NANDAN CHANDU is proficient in AWS cloud services, Spark APIs, and
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Emails and Phone Numbers

@jpmchase.com
@jpmorgan.com
+1 800935****
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About

• Around 8 Years of IT experience as a developer, Designer and Quality reviewer with cross platform integration experience using Hadoop, Hadoop architecture and python. • Good understanding of Hadoop architecture and various components such as HDFS, Job tracker, Task Tracker, Name Node and Data Node. • Strong understanding of Hadoop daemons and Map Reduce concepts • Hands on experience in installing, configuring and using Hadoop ecosystems such as Map Reduce, HIVE, PIG, SQOOP and FLUME. • Experienced in scheduling and orchestrating of Spark and Hadoop jobs and data ingestion to hive using workflows like Oozie and Control-M. • Good Knowledge in loading the data from Oracle and MySQL databases to HDFS system using SQOOP (Structured Data) and FLUME (Log Files & XML). • Extensive experience in developing PIG Latin Scripts and using Hive Query Language for data analytics. • Experienced in writing custom Hive UDF’s to incorporate Business logic with Hive Queries. • Knowledge on analyzing data interactively using Apache Spark and Apache Zeppelin. • Good Knowledge in understanding the Apache Storm-Kafka pipelines. • Expertise in real time data processing or pipeline of Kafka with producer/consumer/connect and streaming 's with auto schema evaluation of schema using confluent schema registry. • Good experience in optimizing Map Reduce algorithms using Mappers, Reducers, combiners and partitions to deliver the best results for the large datasets. • Expertise in AWS cloud services like EC2, VPC, IAM, S3, RDS, R53, SQS, Cloud Front, Cloud Watch and Lambda functions. • Having good experience in Spark API's like RDD, Data Frames, Datasets and Spark SQL. • Extensive experience in working with application servers like WebSphere, WebLogic and Tomcat. • Hands on experience in developing PIG Latin Scripts and Hive Query language for data analytics • Strong understanding of NoSQL databases like Cassandra, HBase and Mango DB. • Good Knowledge in job/workflow scheduling and monitoring tools like Oozie & Zookeeper. • Extensive experience in design, development and support Model View Controller using Struts and Spring framework. • Hands on experience in application development using core SCALA, RDBMS, Linux shell scripting and developed UNIX shell scripts to automate various processes. • Proficiency in using BI tools like Tableau/Pentaho. • Extensive Experience in using database applications of RDBMS in ORACLE and MS Access, SQL Server • Having Good experience on Test First Development, Unit Testing and functional testing frameworks like Junit, Cucumber and Easy Mocking.

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Work Experience

270 Park Avenue, New York, NY, 10017-2014, US

Financial Services

294892
Phone
+1 8009359935

LALITH NANDAN CHANDU's Professional Milestones

  • Big Data Developer (2019-12-01~): Developed data-driven solutions to optimize business operations and enhance overall efficiency.
  • big data developer at jpmorgan chase & co : Developed and executed comprehensive data development strategies to drive strategic business decisions and increase operational efficiency.

Education

Vellore Institute of Technology
Vellore Institute of Technology