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Candidate Overview
Consultant ID:C25391
Consultant Name: Sadiya Ahmad
Consultant Title:Big data Hadoop
Total Experience:8+ Years
Primary Skills:Languages Python, Core Java, Visual Basic, C++, ASP.NET, HTML, JavaScript, CSS, CGI, CLISP. Hadoop/Big Data Hadoop, hive, Sqoop, Pig, Puppet, Spark, K
Education:Bachelors
Certifications:
Domain Exposure:

IT/Software

Re-Location:Open - anywhere USA
Availability:Immediately
RDM Name:Albert Jordan

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Candidate's Professional Experience Summary

Summary



    • 8 years of experience in IT with multinational clients in variety of industries, which include expertise in Big data experience developing Big data/Hadoop/Java applications.
    • Following Software Development Lifecycle (SDLC) for proper delivery and implementation of software.
    • Completed multiple cycles of software implementation.
    • Good knowledge of
    • and advanced data processing
    • Experience in installation, configuration, supporting and monitoring Hadoop clusters using Cloudera distributions.
    • Expertise in developing PIG Latin Scripts and using Hive Query Language for data Analytics.
    • Well experienced in writing data transformations, data cleansing using PIG operations and implementing Join operations using PIG Latin.
    • Excellent understanding and knowledge of NOSQL databases like  HBase, Cassandra and MongoDB.
    • Experienced in developing MapReduce programs using Apache Hadoop for working with Big Data.
    • Generating analytical reports using Impala and Hue.
    • Experience in importing and exporting the data using Sqoop from HDFS to Relational Database systems/mainframe and vice-versa.
    • Have hands on experience in implementing various machine learning algorithms using Spark MLlib.
    • Experience debugging Pig and Hive scripts and optimizing MapReduce Data modeling, use case design and Object oriented concepts.
    • Well versed in installation, configuration, supporting and managing of Big Data and underlying infrastructure of Hadoop Cluster.
    • Excellent understanding and extensive knowledge of Hadoop architecture and various +components such as HDFC, JobTracker, TaskTracker, NameNode, DataNode and MapReduce programming paradigm.
    • Deep knowledge in Hadoop architecture and various components such as (MapReduce, HDFS, Hive, Sqoop, Pig, Yarn, Spark, scala, Kafka, Flume, Oozie and Zookeeper) on multiple distributions i.e. Cloudera, Hortonworks and NoSQL platforms (HBase, Cassandra & MaongoDB).
    • Experience in Data Analysis, Data Validation, Data Verification, Data Cleansing, Data Completeness and identifying data mismatch.
    • Involved in maintenance and migration of data using sqoop.
    • Hands on experience creating User defined aggregate functions(UDAF) and User defined Table functions(UDTF) for researchers.
    • Good Exposure on Mapreduce programming, PIG Scripting and Distributed Application and HDFS.
    • Developed workflow in Oozie to automate the tasks of loading the data into HDFS and pre-processing with Pig. 
    • Had to do the Cluster co-ordination services through ZooKeeper
    • Familiar with data architecture including data ingestion pipeline design, Hadoop information architecture, data modeling and data mining, machine learning job and debugging Mapreduce job using Junit framework.
    • Worked on building massively scalable Real Time Streaming Platform using Spark , Scala,  Spark Streaming , Kafka.
    • Experience with Web Application Development, Deployment, Low level Designing using Java, J2EE (Struts, JSP, Servlet, Spring), RESTful Webservice,  and MVC Architecture
    • Experienced in integration of various data sources like Java, RDBMS, Shell Scripting, Spreadsheets, Text files, XML and CSV.
    • Expertise in working with different databases like Oracle, MS-SQL Server, Postgress, and MS Access 2000 along with exposure to Hibernate for mapping an object-oriented domain model to a traditional relational database.
    • Experience in working with web/application servers like JBOSS, Apache Tomcat, IBM Web sphere,Web logic
    • Adequate knowledge of Agile and Waterfall methodologies.
    • Extensive experience in data analysis using tools along with Shell scripting and UNIX.
    • Experienced in developing complex SQL queries and PL/SQL packages, stored procedures, functions, and triggers.
    • Experience with Amazon Web Services(AWS), SOAP and REST protocol.
    • Familiarity and experience with data warehousing and ETL tools.
    • Experience in Object Oriented Analysis, Design (OOAD) and development of software using UML Methodology, good knowledge of J2EE design patterns and Core Java Design Patterns.
    • Good understanding of Scrum methodologies, Test Driven Development(TDD) and continuous integration.
    • Excellent knowledge in SQL technologies.
    • Worked on an enterprise-level, application development and testing team with primary focus in the area of functional testing and regression testing.

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