SUMMARY

• Around 4.5 Years of IT experience among which 4+ years wif excellent noledge on Cassandra Administration and Development (NoSQL)
• Hands - on experience in development and design of applications in Java and its related frameworks.
• Experience in Designing, Planning, Administering, Installation, Configuring, Troubleshooting, Performance monitoring and Fine-tuning of Cassandra Cluster.
• Experience in Restful Services.
• Server-side scripting engine development and deployment wif JavaScript andNODEJS
• Service Oriented Architecture
• Web Services design, coding and deployment.
• Experience in developing responsive feature rich web applications using front and back end technologies like Object Oriented (OO) JavaScript, React JS, Angular JS, NodeJS
• Extensive experience wif client and server-side JavaScript frameworks such as React JS, Angular JS and building AJAX driven Single Page Applications (SPA) wif Accessible Web Applications
• Superior noledge onCassandraarchitecture wif better understanding of read and write processes including SSTable, Mem-table and Commit log.
• Good Understanding of Distributed Systems and Parallel Processing architecture.
• Excellent noledge on CQL (CassandraQuery Language), for obtaining the data present inCassandraby running queries in CQL.
• Experience inCassandrastress tool for benchmarkingCassandraCluster.
• Good Knowledge inCassandracluster topology and Virtual nodes.
• Experience in installing multi-data center and multi-rackCassandracluster.
• Two projects of experience in exporting data into DataStaxCassandracluster from RDBMS using Java Driver or Sqoop tools.
• Experience inCassandradata modeling along wif managing and scheduling of the data backup and restore operations.
• Experience in Tuning the JVM.
• Good noledge in implementation of DataStax Java driver to connect, load and retrieve data fromCassandradatabase.
• Experience in setting up alerts in OpsCenter.
• Excellent noledge on tired and leveled sized compaction strategies.
• Involved in designing various stages of migrating data from RDBMS toCassandra.
• Experience in deploying theCassandracluster in cloud, on premises, working on the data storage and disaster recovery forCassandra.
• Experience in development Using Cassandra JAVA driver (2.X).
• Designing data models inCassandraand working wifCassandraQuery Language.
• In depth noledge inCassandraread and write paths and internal architecture.
• Implemented multi-data center and multi-rackCassandracluster.
• Experience in design, development, maintenance and support of Big Data Analytics using Hadoop Ecosystem components like HDFS, Hive, Pig, HBase, Sqoop, Flume, Zookeeper, MapReduce, and Oozie.
• Strong working experience wif ingestion, storage, querying, processing and analysis of big data.
• Experience in installation, configuration, supporting and managing Hadoop clusters.
• Worked in Multiple Environments in installation and configuration of Hadoop Clusters
• Experience wif SQL, PL/SQL and database concepts.
• Good understanding of NoSQL databases.
• Hands on experience wif Amazon Web Services (AWS), Amazon EC2 and EMR
• Experience on creating databases, tables and views in HIVE, IMPALA
• Experience in working wif different data sources like Flat files, XML files and Databases.
• Experience in database design, entity relationships, database analysis, programming SQL, stored procedure's PL/ SQL, packages and triggers in Oracle and MongoDB on Unix / Linux.
• Experience in various phases of Software Development Life Cycle (Analysis, Requirements gathering, Designing) wif expertise in documenting various requirement specifications, functional specifications, Test Plans, Source to Target mappings, SQL Joins.
• Worked on different operating systems like UNIX/Linux, Windows XP and Windows 2K.
• Goal oriented self-starter, quick learner, team player and proficient in handling multiple projects simultaneously.

TECHNICAL SKILLS

Cassandra: CassandraDataStax EnterpriseCassandra, Open sourceCassandra, Cluster Management Tools OpsCenter, ccm, Kafka, Spark, Stress tool, Sqoop, Cloudera Manager

Server Automation Tools: Chef, Puppet

Databases: Dynamo DB, Microsoft SQL Server, MySQL, Oracle

Languages: C, Java, Python, JavaScript, HTML, CSS

Operating Systems: Linux (Red Hat, CentOS, Ubuntu), Windows

Version Control, related Tools: Git, SVN, gerrit, jenkins

Bug Tracking Tools: QC, Bugzilla

Job Scheduling: Autosys, Cron

PROFESSIONAL EXPERIENCE

Confidential, Tampa, FL

Sr. Cassandra Administrator

Responsibilities:

• Maintained a Multi-DatacenterCassandracluster.
• Experience in performance tuning aCassandracluster to optimize writes and reads.
• Involved in the process of data modelingCassandraSchema.
• Developed designs in securing the application using form-based autantication using HTML5, XHTML, JavaScript, jQuery and CSS3.
• Created Node.JS backend for creating RESTful Web Services using the Express Framework and Mongoose to connect wif MongoDB.
• Written Ajax driven JSON consuming JavaScript functions to save User selections such as radio button, drop-down menu selections into a cookie.
• Installed and Configured DataStax OpsCenter forCassandraCluster maintenance and alerts.
• BenchmarkedCassandracluster based on the expected traffic for the use case and optimized for low latency.
• BuiltCassandraCluster on both the physical machines and on AWS.
• AutomatedCassandraBuilds/installation/monitoring etc.
• Involved in requirements gathering and capacity planning for multi data center (four)Cassandra cluster.
• Administered and maintained multi rackCassandracluster using OpsCenter based on the use case implemented consistency level for reads and writes.
• Automated and deployedCassandraenvironments using Chef recipes.
• Optimized theCassandracluster by making changes inCassandraconfiguration file and Linux OS configurations.
• Setup, upgrade and maintainCassandraDSE clusters.
• Tune databases and provide design changes and support stress tests to proactively fix problems.
• Working asCassandraAdmin (Datastax DSE-DevOps-NoSQL DB) on 39 node cluster.
• Created tables in HIVE and one-time data load into HIVE Environment.
• Converting existing SQL Queries/Stored Procedures into Hive environment.
• Used Apache KAFKA for Asynchronous exchange of information between Different Business Applications.
• Worked wif Docker Containers for Testing.
• Administration and maintenance of the cluster using OpsCenter, Devcenter, Linux, Node tool etc.
• Data migration from Teradata toCassandrausing Teradata Fexport &Cassandraloader.
• Installing, configuringCassandraon AWS platform.
• Developed Spark code using Scala and Spark-SQL/Streaming for faster testing and processing of data.
• Developed Spark Streaming applications for Real Time Processing.
• Working on OpsCenter(monitoring), Devcenter and Node tool.
• Worked onCassandraData modelling, NoSQL Architecture, DSECassandraDatabase administration. Key space creation, Table creation, Secondary and Solr index creation, User creation & access administration.
• Working closely wif Datastax to resolve issues on cluster using ticketing mechanism.
• Node tool repair, Compaction, Secondary index issues resolution.
• Query tuning & performance tuning on cluster& suggesting best practice for developers.
• Working closely wifCassandraloading activity on history load and incremental loads from Teradata and Oracle Databases and resolving loading issues and tuning the loader for optimal performance.

Environment: Cassandra2.1, AWS, Tera Data, SOL, Datastax 4.7, DevCenter, Cqlsh, OpsCenter, Shell Scripting, HIVE, APACHE KAFKA, DOCKER, Stack trace.

Confidential, Dallas, TX

Sr. Cassandra Administrator

Responsibilities:

• Responsible for building scalable distributed data solutions using DatastaxCassandra.
• Involved in business requirement gathering and proof of concept creation.
• Created data models in CQL for customer data.
• Involved in Hardware installation and capacity planning for cluster setup.
• Involved in the hardware decisions like CPU, RAM and disk types and quantities.
• Used the Spark -CassandraConnector to load data to and fromCassandra.
• Worked wif the Data architect and the Linux admin team to set up, configure, initialize and troubleshoot an experimental cluster of 12 nodes wif 3 TB of RAM and 60 TB of disk space.
• Ran many performance tests using theCassandra-stress tool in order to measure and improve the read and write performance of the cluster.
• Wrote and modified YAML scripts to set the configuration properties like node addresses, replication factors, client storage space, memTable size and flush times etc.
• Used the Datastax OpsCenter for maintenance operations and Key space and table management.
• Loaded and transformed large sets of structured, semi structured and unstructured data in various formats like text, zip, XML, YAML and JSON.
• Created data-models for customer data using theCassandraQuery Language.
• Used collections like lists, sets and maps to create data models highly optimized for reads and writes.
• Created User defined types to store specialized data structures inCassandra.
• Developed PIG UDFs for manipulating the data and extracting useful information according to Business
• Requirements and implemented them using the Datastax Pig functionality.
• Responsible for creating Hive tables based on business requirements
• Implemented advanced procedures like text analytics and processing using the in-memory computing capabilities like Spark.
• Enhanced and optimized product Spark code to aggregate, group and run data mining tasks using the Spark framework.
• Implemented the clustering algorithms in Mahout to cluster consumer by location of purchase and general category of purchase to create specialized and targeted credit and foreign exchange products.
• Implemented a distributed messaging queue to integrate wifCassandrausing Apache Kafka and Zookeeper.
• Involved in a POC to implement a failsafe distributed data storage and computation system using Apache YARN.
• Involved in the implementation of a POC using the OpenStack Cloud Computing Framework.
• Tuned and recorded performance ofCassandraclusters by altering the JVM parameters like -Xmx and -Xms. Changed garbage collection cycles to place them in tune wif backups/compactions to mitigate disk contention.
• Queried and analyzed data from DatastaxCassandrafor quick searching, sorting and grouping.
• Implemented Partitioning, Dynamic Partitions and Buckets in HIVE for efficient data access.
• Participated in NoSQL database integration and implementation.
• Exported the analyzed data into relational databases using Sqoop for visualization and to generate reports.
• Gathered the business requirements from the Business Partners and Subject Matter Experts like Data Scientists.

Environment: Apache Hadoop 2.2.0, Cloudera 4.5, HDP 1.2, Apache Kafka,Cassandra, MapReduce, Spark, Hive 0.12, Pig 0.11, HBase, Linux, XML.

Confidential

Cassandra Administrator

Responsibilities:

• Responsible for the build out, day-to-day managing and supportingCassandraclusters.
• Configure backup, alerts, repairs and monitoring ofCassandraclusters using Opscenter.
• Troubleshoot the performance issues.
• Troubleshoot read/write latency and timeout issues using nodetool cfstats, tpstats, and cfhistogram.
• Involved in migrating data from Oracle toCassandra.
• Created the upgrade plans for DSE upgrades.
• Designed and developed an API for rider's preferences wif all CRUD capabilities.
• Installed DatastaxCassandra4.5.1 in Production, Testing environments as per best practices.
• Installed Datastax OpsCenter for monitoring purposes.
• Administered, monitored and maintained multi data-centerCassandracluster using OpsCenter and Nagios in production.
• Involved closely wif developers for choosing right compaction strategies and consistency levels.
• Involved inCassandraCluster environment administration dat includes commissioning and decommissioning nodes, cluster capacity planning, performance tuning, cluster Monitoring and Troubleshooting.
• Performed daily administrative tasks of Cluster health check, balancing, and name node metadata backup.
• Performed back up, added libraries and jars successfully migrate from the existing infrastructure to latest releases.

Environment: Datastax 4.7,Cassandra2.1, DevCenter, Cqlsh, OpsCenter, Shell Scripting, Oracle11g, Eclipse, SQL, windows7, Log4J, GIT, AWS.

Confidential

Big data Developer

Responsibilities:

• Installed and Configured Apache Hadoop clusters for application development and Hadoop tools like Hive, Pig, Oozie, Zookeeper, HBase, Flume and Sqoop.
• Implemented multiple Map Reduce Jobs in java for data cleansing and pre-processing.
• Responsible for Cluster maintenance, adding and removing cluster nodes, Cluster Monitoring
• Hands on experience in writing Linux/Unix Shell scripting and python Scripting
• Developed a data cleaner for IMDB data files in python for a research project.
• Written python scripts for internal testing which pushes the data reading form a file into Kafka queue which in turn is consumed by the Storm application.
• Troubleshooting, manage and review data backups and log files.
• Responsible to manage data coming from various sources.
• Worked wif python to create UDF's and used them as part of Pig Scripts and used python for creating graphs for data analysis.
• Involved in importing the real-time data to Hadoop using Kafka and implemented the Oozie job for daily imports.
• Managed and scheduled Jobs on a Hadoop cluster.
• REST APIs were developed in python for Video streaming interfaces.
• Involved in defining job flows, managing and reviewing log files.
• Developed analytics data store in python, MongoDB for data analysis
• Installed Oozie workflow engine to run multiple Map Reduce, HiveQL and Pig jobs.
• Implemented a script to transmit sysprin information from Oracle to HBase using Sqoop.
• Participated in requirement gathering form the Experts and Business Partners and converting the requirements into technical specifications.
• Created Hive tables and impala to store the processed results in a tabular format.
• Involved in converting Hive/SQL queries into Spark transformations using Spark RDDs and Scala.
• Learning Supported and maintained HDFS architecture
• Collaborated wif application teams to install operating system and Hadoop updates, patches, version upgrades when required.

Environment: Hadoop, MapReduce, HDFS, Java, SQOOP, Flume, Kafka, LINUX, OOZIE, Python, Pig, AWS, Scala, ETL, MySQL, JIRA, Hive, Jenkins, HBASE, Oracle.