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Tableau developer Resume

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Bridgeport, CT

SUMMARY:

  • Experience analyzing huge datasets on HDFS using MapReduce, HiveQL and Pig Latin.
  • Capable of analyzing structured, semi - structured and unstructured datasets in competitive execution time.
  • In-depth knowledge of developing MapReduce program to parse unstructured data, convert it to structured format and analyze over a use-case.
  • Ability to develop spark application using PySpark API to analyze huge datasets.
  • Experience analyzing data using highly scalable AWS tools like Elastic MapReduce, DynamoDB, Elastic Compute Cloud and Simple Storage Service.
  • Testing analysis methods to attain lowest execution time by staging data, performance testing of required mappers, reducers, partitioner and combiners.
  • Proficient in visualizing data insights using Tableau.
  • Experience accessing triple formatted Turtle data file and node based data from GraphDB using SPARQL.
  • Extensive experience querying relational OLTP databases like SQL Server and MySQL using SQL.
  • Experience developing software using C#, Python on Microsoft and Linux platforms.

OBJECTIVE:

Actively seeking full-time job/internship opportunity. Candidate with leadership and team player ethics to perform analytically and logically challenging tasks. Desired to contribute the organization with all the dedicated efforts. Intent to gain hands-on experience in the field of Big Data Analytics and Amazon Web Services.

TECHNICAL PROFICIENCIES:

Big Data Ecosystem: Hadoop, Hive, Pig, Sqoop, Spark, Mahout, MapReduce programming, HBase, Flume, Hue, Yarn and Oozie

Amazon web services: EC2, DynamoDB, Lambda, ELB, S3, CloudFront, CloudFormation, CloudWatch, OpsWorks, IAM, EMR, Mobile Hub, Device farm

Databases: Microsoft SQL Server, Oracle 11g/12c, SQLite

Operating Systems: Windows, Linux, DOS, Android

Languages: C, C++, Java, Python, C#, Bash, SQL, HTML5/CSS3, XML/XSLT, Node.js, MATLAB

Development Software/IDE: MySQL, Visual Basic, Visual Paradigm, MS-Office, Photoshop, Java Eclipse, Visual Studio

Web Development Frameworks: Bootstrap, MVC, .net RDF, Microdata

PROFESSIONAL EXPERIENCE:

Confidential, Bridgeport, CT

Tableau Developer

Responsibilities:

  • Performed a comparative analysis on big dataset for H1B petitions filed between 2011 and 2016 using MapReduce, Hive, Spark and Elastic MapReduce.
  • The analysis results were visualized using Tableau to give more insights of trends in H1B petitions over years.
  • The comparative analysis helped me come up with better execution times.
  • Implemented backend program, deployed, visualized and presented.

Skills: Java, MapReduce programming model, HiveQL, YARN, Spark, Python, Amazon Web Services, Elastic MapReduce, Elastic Compute Cloud, Simple Storage Service, Linux, Tableau.

Confidential, Bridgeport, CT

Tableau Developer

Skills: Turtle, GraphDB, HTML5/CSS3, SPARQL, XML, Visual Studio, MVC, Bootstrap, RDF, Microdata

Responsibilities:

  • Data generation for Turtle files and GraphDB, Programmed model, view and controllers for each functioning, testing, designed SPARQL queries.

Confidential, Bridgeport, CT

Tableau Developer

Skills: MapReduce programming, Hadoop File System on cluster, Linux Ubuntu, Sqoop, Hive, Spark, JSON API, Tableau, AWS Elastic MapReduce (EMR), Simple Storage service (S3), Identity Access Management (IAM) and DynamoDB

Responsibilities:

  • Performed analysis on NYPD dataset to find trends since past 5 years and visualized it using Tableau.
  • Extended the same dataset to analyze on AWS tools to speedup execution time considerably.
  • Creating Hadoop ecosystem for analysis, configured EMR and created visualizations on Tableau.

Confidential, Bridgeport, CT

Tableau Developer

Skills: Oracle 11g, MySQL, C# 6.0, Visual Studio (Win Forms, Console Application), C++, File access as database

Responsibilities:

  • A windows standalone application to store and retrieve medicine information from relational database.
  • Extended further with Object-Oriented approach using Design Patterns.
  • Developed C# code, designed SQL queries and introduced design patterns.

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