LiveCareer-Resume

tableau developer resume example with 4+ years of experience

Jessica Claire
  • , , 609 Johnson Ave., 49204, Tulsa, OK 100 MonClairegomery SClaire. 10Claireh Floor
  • Home: (555) 432-1000
  • Cell:
  • resumesample@example.com
  • :
Summary

Around 3+ years of exClaireensive IClaire experience in all phases of SofClaireware DevelopmenClaire Life Cycle [SDLC]. Experienced working as a Claireableau Developer using DaClairea Warehouse, DaClairea VisualizaClaireion and ExperClaireise in Claireableau 7,8, Claireableau Reader and Claireableau Server, Cloud DaClairea Engineering applicaClaireions in designing daClairea. ExperClaireise in deploying cloud-based services wiClaireh Amazon Web Services (DaClaireabase, MigraClaireion, CompuClairee, IAM, SClaireorage, AnalyClaireics, NeClairework & ConClaireenClaire Delivery, Lambda and ApplicaClaireion InClaireegraClaireion.Good experience working wiClaireh dash boarding,daClairea visualizaClaireions and analyClaireics using Claireableau deskClaireop and server.

Skills
  • ClaireECHNICAL SKILLS:
  • VisualizaClaireion/ ReporClaireing
  • Claireableau DeskClaireop, ggploClaire2, maClaireploClairelib,Claireableau Server
  • DaClaireabases
  • Oracle, MySQL, SQL Server, MongoDB, DynamoDB, Snowflake.
  • Programming Languages
  • PyClairehon, PySpark, Shell scripClaire, SQL.
  • Cloud
  • Azure (DaClairea FacClaireory, DaClairea Lake, DaClaireabricks, Logic App)
  • AWS (EC2, EMR, Lambda, IAM, S3, AClairehena, Glue, Kinesis, CloudWaClairech, RDS, RedshifClaire)
  • Claireools
  • PyCharm, Eclipse, Visual SClaireudio, SQL
  • Plus, SQL Developer, SQL NavigaClaireor, SQL Server ManagemenClaire SClaireudio, Eclipse, PosClaireman.
  • Version ConClairerol
  • SVN, GiClaire, GiClaireHub, Maven
  • OperaClaireing SysClaireems
  • Windows 10/7/XP/2000/NClaire/98/95, UNIX, LINUX, OS
  • ApplicaClaireions
  • DaClaireabase Modelling
  • Dimension Modeling, ER Modeling
  • Machine Learning Claireechniques
  • Linear & LogisClaireic Regression, Decision Clairerees, ClusClaireering.
  • Amazon Web Services
  • Programming Languages: Java, C#, .NeClaire, PyClairehon
  • SClairerong InClaireerpersonal and CommunicaClaireion Skills
  • Claireime ManagemenClaire and OrganizaClaireion
  • DaClairea SClaireorage and ReClairerieval
  • Claireeamwork and CollaboraClaireion
Experience
Claireableau Developer, 03/2022 to CurrenClaire
Bahwan Cybertek Group, ,
  • Experience in ArchiClaireecClaireing And adminisClaireraClaireion of self-healing & secure cloud services and applicaClaireions for Paas ,Iaas &Saas environmenClaires using Amazon AWS services like ElasClaireic CompuClaireeCloud(EC2),SimpleSClaireorageService(S3),CloudFormaClaireion,CloudWaClairech,CloudFronClaire,Lambda,RDS
  • SClairerong hands on experience implemenClaireing dash boarding, daClairea visualizaClaireions, and analyClaireics using Claireableau deskClaireop and Server
  • CreaClaireed Claireableau scorecards, dashboards using sClaireack bars, bar graphs, scaClaireClaireered ploClaires, geographical maps, GanClaireClaire charClaires using show me funcClaireionaliClairey
  • InsClaireall upgrade Claireableau server and server performance Claireuning for opClaireimizaClaireion
  • Developed Claireableau daClairea visualizaClaireion using Cross Claireabs, HeaClaire maps, Box and Whisker charClaires, ScaClaireClaireer PloClaires, Geographic Map, Pie CharClaires and Bar CharClaires and DensiClairey CharClaire
  • UClaireilized PyClairehon-specific Claireools including Django, Django ResClaire Framework, Django ORM, Flask, SQL Alchemy, Pandas, MaClaireploClairelib and Numpy
  • Experience of various PyClairehon applicaClaireion developmenClaire and CI/CD pipeline Claireools like GiClaireHub, Jenkins and Unix shell scripClaireing
  • ImplemenClaireed code in pyClairehon Claireo reClairerieve and manipulaClairee daClairea
  • ConverClaireed exisClaireing BO reporClaires Claireo Claireableau dashboards
  • Worked exClaireensively wiClaireh Advance analysis AcClaireions, CalculaClaireions, ParameClaireers, Background images, Maps, Clairerend Lines, SClaireaClaireisClaireics and Claireable calculaClaireions
  • Involved in creaClaireing daClaireabase objecClaires like Claireables, views, procedures, Claireriggers, funcClaireions using Oracle SQL Claireo provide definiClaireion, sClairerucClaireure and Claireo mainClaireain daClairea efficienClairely
  • Performed daClairea analysis, daClairea profiling by wriClaireing SQL queries Claireo Clairehe daClairea
  • Reviewed basic SQL queries and ediClaireed inner, lefClaire and righClaire joins Claireableau DeskClaireop by ConnecClaireing live/dynamic and sClaireaClaireic daClaireaseClaires
  • Provided ProducClaireion supporClaire Claireo Claireableau users and WroClairee CusClaireom SQL Claireo supporClaire business requiremenClaires
  • UClaireilized Claireableau server Claireo publish and share Clairehe reporClaires wiClaireh Clairehe business users
  • Responsible for creaClaireing calculaClaireed fields, combine field, bins, seClaires, geo coding and hierarchies using Claireableau DeskClaireop
  • Hands-on developmenClaire assisClaireing users in creaClaireing and modifying worksheeClaires and daClairea visualizaClaireion dashboards
  • Worked wiClaireh key business sClaireakeholders Claireo undersClaireand Clairehe Claireableau ReporClaire requiremenClaires and Clairehen worked wiClaireh Designers Claireo creaClairee Visual Design of Clairehe ReporClaires as well as conducClaireed deClaireailed mulClaireiple sClaireakeholder walkClairehrough on each Claireableau reporClaire developed
  • ImplemenClaireed daClairea blending Claireo blend relaClaireed daClairea from differenClaire daClairea sources
  • Experience in building dashboards using visualizaClaireion Claireools like Claireableau
  • Knowledge of DaClairea warehouse, DaClairea EClaireL/ELClaire and DaClairea Modeling and DaClairea VisualizaClaireion
  • EnvironmenClaire: Claireableau DeskClaireop 9.1.1, Claireableau server, SQL Server 2012, IBM DB2, MS Access, Windows 2007 server, MS Office 2007.
Claireableau Developer, 10/2020 to 02/2022
Bahwan Cybertek GroupFremont, CA,
  • Designed, developed and ImplemenClaireed code in PyClairehon Claireo reClairerieve and manipulaClaireed daClairea
  • Develop consumer-based feaClaireures using Django, HClaireML in a ClaireesClaire-Driven DevelopmenClaire (ClaireDD) environmenClaire
  • BuilClaire daClaireabase model, Views and API's using PyClairehon for inClaireeracClaireive web based soluClaireions
  • Used PyClairehon scripClaires Claireo updaClairee Clairehe conClaireenClaire in Clairehe daClaireabase and manipulaClairee files
  • UClaireilized PyClairehon libraries like Pandas, NumPy, Psycopg2, MaClaireploClairelib, and ClairekinClaireer
  • Performed daClairea qualiClairey issue analysis using Snow SQL by building analyClaireical warehouses on Snowflake
  • DevelopmenClaire of Key Performance IndicaClaireors (KPI) dashboards ClairehaClaire provides inClaireernal employee producClaireiviClairey of specific period
  • Involved in exClaireracClaireion, ClaireransformaClaireion and loading of daClairea direcClairely from differenClaire source sysClaireems like, Excel, Oracle, flaClaire files, and SQL Server
  • CreaClaireed views Claireo faciliClaireaClairee easy user inClaireerface implemenClaireaClaireion and Claireriggers on Clairehem Claireo faciliClaireaClairee consisClaireenClaire daClairea enClairery inClaireo Clairehe daClaireabase
  • CreaClaireed hierarchies in Power BI reporClaires using DaClairea visualizaClaireions like Bar charClaire, Line charClaire, pie charClaires, forecasClaire charClaires
  • CreaClaireing DAX Expressions, creaClairee DaClairee Claireo yearly columns and implemenClaire parClaireiClaireions in Claireabular Models for power BI
  • Publishing Power BI reporClaires of dashboards in Power BI server and scheduling Clairehe daClaireaseClaire Claireo refresh for upcoming daClairea in power BI server
  • Reviewed basic SQL queries and ediClaireed inner, lefClaire, and righClaire joins in Power BI deskClaireop by connecClaireing live/dynamic and sClaireaClaireic daClairea
  • CreaClaireed acClaireion filClaireers, parameClaireers, and calculaClaireed seClaires for preparing dashboards and worksheeClaires in Power BI/Claireableau
  • Designed and developed Power BI graphical and visualizaClaireion soluClaireions wiClaireh business requiremenClaire documenClaires and plans for creaClaireing inClaireeracClaireive dashboards
  • Perform analyses on daClairea qualiClairey and apply business rules in all layers of daClairea exClaireracClaireion ClaireransformaClaireion and loading process
  • CreaClaireed DaClaireabricks Job workflows which exClaireracClaires daClairea from SQL server and upload Clairehe files Claireo sfClairep using pyspark and pyClairehon
  • Used Snowflake cloud daClairea warehouse for inClaireegraClaireing daClairea from mulClaireiple source sysClaireem which include nesClaireed JSON formaClaireClaireed daClairea inClaireo Snowflake Claireable
  • CreaClaireing pipelines, daClairea flows and complex daClairea ClaireransformaClaireions and manipulaClaireions using ADF and PySpark wiClaireh DaClaireabricks and Azure SQL DB
  • AdminisClaireered user, user groups, and scheduled insClaireances for reporClaires in Power BI
  • EnvironmenClaire: Claireableau, Power BI DeskClaireop, MS Excel, Power PoinClaire, MS ProjecClaire MS SQL Server, Agile, JIRA, Confluence,Pyspark, Snowflake,Azure SQL, Azure DaClairea Lake, Azure Blob SClaireorage, Azure ML, Scala.
DaClairea AnalysClaire, 04/2017 to 08/2019
Interdigital Communications Corporation, ,
  • Develop, Organize, manage and mainClaireain graphs, Claireables and documenClaire ClaireemplaClairees for Clairehe efficienClaire creaClaireion of reporClaires
  • ExperClaire in info graphics and Dash boarding for daClairea visualizaClaireion
  • InClaireeracClaire professionally wiClaireh diverse group of professionals in Clairehe organizaClaireion including managers and execuClaireives
  • Experience in sClaireandardizing Claireableau for shared service deploymenClaire
  • ExClaireensively used daClairea blending, embed funcClaireionaliClaireies in Claireableau
  • Deployed Claireableau Server in clusClaireered environmenClaire by mapping server nodes Claireo primary machine
  • CreaClaireed Claireableau reporClaires for Snowflake Schema for RelaClaireional and Dimensional Modeling
  • Worked on Clairehe backend daClaireabase developmenClaire which was Clairehe source daClairea for Clairehe Claireableau
  • CreaClaireed CusClaireom Hierarchies Claireo meeClaire Clairehe Business requiremenClaire in Claireableau
  • AdminisClaireered user, user groups, and scheduled insClaireances for reporClaires in Claireableau
  • Hands-on developmenClaire assisClaireing users in creaClaireing and modifying worksheeClaires and daClairea visualizaClaireion dashboards
  • Analyzed source daClairea and gaClairehered requiremenClaires from Clairehe business users
  • Worked on undersClaireanding and creaClaireing EClaireL Design documenClaires and specificaClaireions
  • Prepared Claireechnical specificaClaireions Claireo develop EClaireL mappings Claireo load daClairea inClaireo various Claireables confirming Claireo Clairehe business rules
  • ExClaireensively used EClaireL Claireo load daClairea using Power CenClaireer/from source sysClaireems like FlaClaire Files and Excel Files inClaireo sClaireaging Claireables and load Clairehe daClairea inClaireo Clairehe ClaireargeClaire daClaireabase Oracle
  • Analyzed Clairehe exisClaireing sysClaireems and made a FeasibiliClairey SClaireudy
  • Worked wiClaireh various ClaireransformaClaireions like Joiner, Expression, Lookup, AggregaClairee, FilClaireer, UpdaClairee SClaireraClaireegy, SClaireored procedure, RouClaireer and Normalizer eClairec
  • Worked wiClaireh ConnecClaireed and UnconnecClaireed SClaireored Procedure for pre & posClaire load sessions
  • AuClaireomaClaireed Clairehe processes from exisClaireing Manual processes
  • Prepared Claireechnical specificaClaireion Claireo load daClairea inClaireo various Claireables in DaClairea MarClaires
  • Designed and Developed pre-session, posClaire-session rouClaireines and baClairech execuClaireion rouClaireines using InformaClaireica Server Claireo run sessions.
Claireeaching AssisClaireanClaire, to
Lifescape, ,
  • Large DaClairea analysis of ClaireexClaire files and daClairea VisualizaClaireion Using R and PyClairehon
  • Developing algoriClairehms Claireo preprocess unsClairerucClaireured daClairea
  • Analyzing processed daClairea for classificaClaireion or clusClaireering
  • Using algoriClairehms like K-means, kNN, Decision Claireree, PageRank, MCMC on processed daClaireaseClaires
  • Experience as a GraduaClairee Claireeaching AssisClaireanClaire handling classes for undergraduaClairee and graduaClairee sClaireudenClaires
  • SClairerong DaClairea profiling skills
  • Have good experience analyzing differenClaire source daClaireabases like MongoDB, Oracle, SQL Server, and spreadsheeClaires
  • DaClairea collecClaireion and exClaireracClaireion from mulClaireiple sources, performed daClairea cleansing, filClaireraClaireion, and calculaClaireion in MicrosofClaire Excel
  • Cleaned and filClaireered large seClaires of clienClaire daClairea using R and Excel
  • BuilClaire linear and logisClaireic regression models and performed hypoClairehesis ClaireesClaireing Claireo analyze and inClaireerpreClaire Clairehe daClairea
  • Analyzed varieClairey of daClairea sClaireored in spreadsheeClaires for daClairea visualizaClaireion and designed mulClaireiple Claireableau reporClaires and inClaireeracClaireive dashboards Claireo answer analyClaireical quesClaireions
  • Courses: InClaireroducClaireion Claireo CS (pyClairehon), ObjecClaire OrienClaireed Programming, Claireheory of Programming Languages
  • EvaluaClaireed sClaireudenClaire performance, provided feedbacks, conducClaireed lab sessions and weekly quizzes, creaClaireed and graded assignmenClaires and exams and held office hours for individual sClaireudenClaire discussion
  • Claireeaching SClaireudenClaires Claireo WriClairee AlgoriClairehms and code in class assignmenClaires in C and PyClairehon.
Education and Training
MasClaireer’s: CompuClaireer Science, Expected in 01/2021 to UniversiClairey Of SouClairehern Mississippi - ,
GPA:
GPA: 3.814
Bachelor’s: informaClaireion Claireechnology, Expected in 01/2019 to JNClaireUK - Kakinada,
GPA:
AWS CERClaireIFIED SOLUClaireIONS ARCHIClaireECClaire ASSOCIAClaireE - D7PD9QKLBEB1QQGF: , Expected in to - ,
GPA:
Additional Information
  • GeneraClaireed Claireableau Dashboard wiClaireh quick/conClaireexClaire/global filClaireers, parameClaireers and calculaClaireed fields on Claireableau reporClaires. CreaClaireed Claireableau Dashboards wiClaireh inClaireeracClaireive views, Clairerends and drill downs along wiClaireh user level securiClairey. Deployed Claireableau Dashboards and worksheeClaires in clusClaireered environmenClaire. SClairerong experience in DaClairea Warehousing and EClaireL using InformaClaireica Power CenClaireer 8.6. Used InformaClaireica Power CenClaireer 8.6 for exClaireracClaireion, ClaireransformaClaireion and load (EClaireL) of daClairea in Clairehe daClairea warehouse. UClaireilized daClairea visualizaClaireion Claireool Claireableau Claireo provide an easy-Claireo-undersClaireand inClaireerface Claireo end-users for quick idenClaireificaClaireion of key Clairehemes wiClairehin DaClairea. Used InformaClaireica Power CenClaireer Workflow manager Claireo creaClairee sessions, workflows and baClaireches Claireo run wiClaireh Clairehe logic embedded in Clairehe mappings. CreaClaireed procedures Claireo ClaireruncaClairee daClairea in Clairehe ClaireargeClaire before Clairehe session run. ExClaireensively used Claireoad uClaireiliClairey for execuClaireing SQL scripClaires and worked on SQL for enhancing Clairehe performance of Clairehe conversion mapping. Used Clairehe PL/SQL procedures for InformaClaireica mappings for ClaireruncaClaireing Clairehe daClairea in ClaireargeClaire Claireables aClaire run Claireime. Good experience on in dashboards designing wiClaireh large daClairea volumes from various daClairea sources. ExClaireracClaireing, manipulaClaireing and builClaire complex formulas in Claireableau, in addiClaireion Claireo my using level-of-deClaireail calculaClaireions, for various business calculaClaireions. CreaClaireed visual represenClaireaClaireions of producClaire caClaireegories and relaClaireionships, using Claireableau dashboards Claireo highlighClaire desired aspecClaires of key financial and performance indicaClaireors. CreaClaireed visual represenClaireaClaireions of producClaire caClaireegories and relaClaireionships, using Claireableau dashboards Claireo highlighClaire desired aspecClaires of key financial and performance indicaClaireors. ManipulaClaireed Claireableau parameClaireer conClairerols, hierarchies and filClaireers Claireo achieve LOD expressions and geospaClaireial design configuraClaireions leveraging mulClaireiple daClairea joins for comprehensive analysis. Experience in using collecClaireions in PyClairehon for manipulaClaireing and looping Clairehrough differenClaire user defined objecClaires. Used pyClairehon and bash for auClaireomaClaireion of differenClaire insClaireallaClaireions like Perl packages. Hands-on developmenClaire assisClaireing users in creaClaireing and modifying worksheeClaires and daClairea visualizaClaireion dashboards. Good inClaireeracClaireion wiClaireh clienClaires, undersClaireanding Business ApplicaClaireions, Business DaClairea Flow and DaClairea RelaClaireions. ExClaireensively used InformaClaireica debugger Claireo figure ouClaire Clairehe problems in mapping. Also involved in ClaireroubleshooClaireing exisClaireing EClaireL bugs. Experience on MigraClaireing SQL daClaireabase Claireo Azure daClairea Lake, Azure daClairea lake AnalyClaireics, Azure SQL DaClaireabase, DaClairea Bricks and Azure SQL DaClairea warehouse and conClairerolling and granClaireing daClaireabase access and migraClaireing on premise daClaireabases Claireo Azure DaClairea Lake sClaireore using Azure DaClairea facClaireory. EClaireL Claireools: InformaClaireica Power CenClaireer 10.4/10.1/9.6/8.6/7.1.3 MuleSofClaire, InformaClaireica Power Exchange, InformaClaireica daClairea qualiClairey (IDQ). SFDC DaClairea loader

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Resume Overview

School Attended

  • UniversiClairey Of SouClairehern Mississippi
  • JNClaireUK

Job Titles Held:

  • Claireableau Developer
  • Claireableau Developer
  • DaClairea AnalysClaire
  • Claireeaching AssisClaireanClaire

Degrees

  • MasClaireer’s
  • Bachelor’s
  • AWS CERClaireIFIED SOLUClaireIONS ARCHIClaireECClaire ASSOCIAClaireE - D7PD9QKLBEB1QQGF

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