SlideShare a Scribd company logo
1 of 2
Ramez Rangrez
Hadoop Administrator
rameezrangrez@gmail.com
+91 7743867681
Skills Glossary
 SQL, big Data and Eco-System: Apache Hadoop including Hive, Pig, Hbase, Sqoop, Flume, HDFS,
Mapreduce, Cloudera and AWS cloud.
 hands on expertise in Hadoop administration, Linux, configuration management on large scale
environment
 results oriented with a laser sharp delivery focus
 good exposure of technical approach, strategic analysis and leadership
 innovative and resourceful multitasker with strong communication and technical writing skills
CloudAge, Pune January 2013 till date
Responsibilities:
 Configured and deployed fully-distributed Apache Hadoop cluster in the cloud. Deploy new Hadoop
infrastructure,Hadoop cluster upgrades,Cluster maintenance,Troubleshooting,Capacity planning, JVM
performance tuning and resource optimization.
 Troubleshoot and debug Hadoop eco system runtime issues. Recovering from node failures and
troubleshooting common Hadoop cluster issues
 Working knowledge of Cloudera Manager, Cloudera Director and Cloud Watch.
 Commissioning and decommissioning of nodes in a cloud and in-house.
 Hands on experience with the Hadoop stack HDFS, MapReduce,Hbase,Pig, Hive, Oozie.Data injection
into HDFS and Trash Configuration.
 Report generation of running nodes using various benchmarking operations
 Experienced in installing hadoop in the Amazon cloud and using Amazon cloud products like EC2, EMR,
S3, EBS etc. Connecting S3 to EC2 via data pipeline in CLI
 Overriding Hadoop defaults configurations for customization. Configuring Linux Security Services like
SSH (Secure Shell).
 Evaluation of Hadoop infrastructure requirements and design/deploysolutions (high availability, big data
clusters, etc)
 Work with the team in providing hardware architectural guidance, planning and estimating cluster
capacity, and creating roadmaps for Hadoop cluster deployment.Preparation ofarchitecture,design and
operational documentation.
 Expertise in performance tuning, storage capacity management.
 Documenting all production scenarios, issues and resolutions. Experience with versioning, change
control, problem management.
Project Details
Title: Customers churn analysis
Description:
Data analysis used as a background application to motivate manyproblems .Customer churn analysis is
done on the telecom data in both volume and complexity. We use cloud-based system,TeleData, which
combines data mining, social network analysis and statistics analysis with Mapreduce framework, for
knowledge discoveryin telecommunications.
Contribution:
• Analysis of specifications provided by client.
• Involved in requirement analysis and understanding the functionalities.
• Interaction with the team and business users.
Education and Certification
 HSC – SSA juniour college of Science, Solapur(2008)
 BE Eletronics and telecomunication-BMIT Solapur(2012)
 CDAC in embedded systems and VLSI designing
Personal Details
Birth Date : 13 October 1990
Nationality : Indian
Marital Status : looking
Languages Known : English, Marathi and Hindi,Arabic
Passport : No
PresentAddress : B-09, Rohan Enclave, Opp CME, Old Pune Mumbai Hoghway,Dapodi, Pune
Hobbies
 Searching trick behind game logic for android games, Playing cricket

More Related Content

What's hot

BDW16 London - Deenar Toraskar, Think Reactive - Fast Data Key to Efficient C...
BDW16 London - Deenar Toraskar, Think Reactive - Fast Data Key to Efficient C...BDW16 London - Deenar Toraskar, Think Reactive - Fast Data Key to Efficient C...
BDW16 London - Deenar Toraskar, Think Reactive - Fast Data Key to Efficient C...Big Data Week
 
Otimizações de Projetos de Big Data, Dw e AI no Microsoft Azure
Otimizações de Projetos de Big Data, Dw e AI no Microsoft AzureOtimizações de Projetos de Big Data, Dw e AI no Microsoft Azure
Otimizações de Projetos de Big Data, Dw e AI no Microsoft AzureLuan Moreno Medeiros Maciel
 
Cloud Services for Big Data Analytics
Cloud Services for Big Data AnalyticsCloud Services for Big Data Analytics
Cloud Services for Big Data AnalyticsGeoffrey Fox
 
Big data vahidamiri-datastack.ir
Big data vahidamiri-datastack.irBig data vahidamiri-datastack.ir
Big data vahidamiri-datastack.irdatastack
 
The Hadoop Path by Subash DSouza of Archangel Technology Consultants, LLC.
The Hadoop Path by Subash DSouza of Archangel Technology Consultants, LLC.The Hadoop Path by Subash DSouza of Archangel Technology Consultants, LLC.
The Hadoop Path by Subash DSouza of Archangel Technology Consultants, LLC.Data Con LA
 
Pervasive DataRush
Pervasive DataRushPervasive DataRush
Pervasive DataRushtempledf
 
sam_resume - updated
sam_resume - updatedsam_resume - updated
sam_resume - updatedsam k
 
Data lake-itweekend-sharif university-vahid amiry
Data lake-itweekend-sharif university-vahid amiryData lake-itweekend-sharif university-vahid amiry
Data lake-itweekend-sharif university-vahid amirydatastack
 
Comparison among rdbms, hadoop and spark
Comparison among rdbms, hadoop and sparkComparison among rdbms, hadoop and spark
Comparison among rdbms, hadoop and sparkAgnihotriGhosh2
 
Big data hadoop ecosystem and nosql
Big data hadoop ecosystem and nosqlBig data hadoop ecosystem and nosql
Big data hadoop ecosystem and nosqlKhanderao Kand
 
Hadoop - Architectural road map for Hadoop Ecosystem
Hadoop -  Architectural road map for Hadoop EcosystemHadoop -  Architectural road map for Hadoop Ecosystem
Hadoop - Architectural road map for Hadoop Ecosystemnallagangus
 
Learning How to Learn Hadoop
Learning How to Learn HadoopLearning How to Learn Hadoop
Learning How to Learn HadoopSilicon Halton
 
Hadoop in the Cloud: Common Architectural Patterns
Hadoop in the Cloud: Common Architectural PatternsHadoop in the Cloud: Common Architectural Patterns
Hadoop in the Cloud: Common Architectural PatternsDataWorks Summit
 
Introduction To Hadoop Ecosystem
Introduction To Hadoop EcosystemIntroduction To Hadoop Ecosystem
Introduction To Hadoop EcosystemInSemble
 
Big dataarchitecturesandecosystem+nosql
Big dataarchitecturesandecosystem+nosqlBig dataarchitecturesandecosystem+nosql
Big dataarchitecturesandecosystem+nosqlKhanderao Kand
 
SQL Saturday BH - Ingerindo, Processando e Analisando Dados com Azure Data La...
SQL Saturday BH - Ingerindo, Processando e Analisando Dados com Azure Data La...SQL Saturday BH - Ingerindo, Processando e Analisando Dados com Azure Data La...
SQL Saturday BH - Ingerindo, Processando e Analisando Dados com Azure Data La...Luan Moreno Medeiros Maciel
 
Bi with apache hadoop(en)
Bi with apache hadoop(en)Bi with apache hadoop(en)
Bi with apache hadoop(en)Alexander Alten
 

What's hot (20)

BDW16 London - Deenar Toraskar, Think Reactive - Fast Data Key to Efficient C...
BDW16 London - Deenar Toraskar, Think Reactive - Fast Data Key to Efficient C...BDW16 London - Deenar Toraskar, Think Reactive - Fast Data Key to Efficient C...
BDW16 London - Deenar Toraskar, Think Reactive - Fast Data Key to Efficient C...
 
Otimizações de Projetos de Big Data, Dw e AI no Microsoft Azure
Otimizações de Projetos de Big Data, Dw e AI no Microsoft AzureOtimizações de Projetos de Big Data, Dw e AI no Microsoft Azure
Otimizações de Projetos de Big Data, Dw e AI no Microsoft Azure
 
Cloud Services for Big Data Analytics
Cloud Services for Big Data AnalyticsCloud Services for Big Data Analytics
Cloud Services for Big Data Analytics
 
Big data vahidamiri-datastack.ir
Big data vahidamiri-datastack.irBig data vahidamiri-datastack.ir
Big data vahidamiri-datastack.ir
 
HDFS
HDFSHDFS
HDFS
 
The Hadoop Path by Subash DSouza of Archangel Technology Consultants, LLC.
The Hadoop Path by Subash DSouza of Archangel Technology Consultants, LLC.The Hadoop Path by Subash DSouza of Archangel Technology Consultants, LLC.
The Hadoop Path by Subash DSouza of Archangel Technology Consultants, LLC.
 
Pervasive DataRush
Pervasive DataRushPervasive DataRush
Pervasive DataRush
 
sam_resume - updated
sam_resume - updatedsam_resume - updated
sam_resume - updated
 
Data lake-itweekend-sharif university-vahid amiry
Data lake-itweekend-sharif university-vahid amiryData lake-itweekend-sharif university-vahid amiry
Data lake-itweekend-sharif university-vahid amiry
 
Comparison among rdbms, hadoop and spark
Comparison among rdbms, hadoop and sparkComparison among rdbms, hadoop and spark
Comparison among rdbms, hadoop and spark
 
Big data hadoop ecosystem and nosql
Big data hadoop ecosystem and nosqlBig data hadoop ecosystem and nosql
Big data hadoop ecosystem and nosql
 
Hadoop - Architectural road map for Hadoop Ecosystem
Hadoop -  Architectural road map for Hadoop EcosystemHadoop -  Architectural road map for Hadoop Ecosystem
Hadoop - Architectural road map for Hadoop Ecosystem
 
Learning How to Learn Hadoop
Learning How to Learn HadoopLearning How to Learn Hadoop
Learning How to Learn Hadoop
 
Hadoop in the Cloud: Common Architectural Patterns
Hadoop in the Cloud: Common Architectural PatternsHadoop in the Cloud: Common Architectural Patterns
Hadoop in the Cloud: Common Architectural Patterns
 
Introduction To Hadoop Ecosystem
Introduction To Hadoop EcosystemIntroduction To Hadoop Ecosystem
Introduction To Hadoop Ecosystem
 
Hadoop white papers
Hadoop white papersHadoop white papers
Hadoop white papers
 
Big dataarchitecturesandecosystem+nosql
Big dataarchitecturesandecosystem+nosqlBig dataarchitecturesandecosystem+nosql
Big dataarchitecturesandecosystem+nosql
 
PPT on Hadoop
PPT on HadoopPPT on Hadoop
PPT on Hadoop
 
SQL Saturday BH - Ingerindo, Processando e Analisando Dados com Azure Data La...
SQL Saturday BH - Ingerindo, Processando e Analisando Dados com Azure Data La...SQL Saturday BH - Ingerindo, Processando e Analisando Dados com Azure Data La...
SQL Saturday BH - Ingerindo, Processando e Analisando Dados com Azure Data La...
 
Bi with apache hadoop(en)
Bi with apache hadoop(en)Bi with apache hadoop(en)
Bi with apache hadoop(en)
 

Similar to Rameez Rangrez(3)

Similar to Rameez Rangrez(3) (20)

Monika_Raghuvanshi
Monika_RaghuvanshiMonika_Raghuvanshi
Monika_Raghuvanshi
 
Resume - Narasimha Rao B V (TCS)
Resume - Narasimha  Rao B V (TCS)Resume - Narasimha  Rao B V (TCS)
Resume - Narasimha Rao B V (TCS)
 
Sidharth_CV
Sidharth_CVSidharth_CV
Sidharth_CV
 
Hadoop_Developer
Hadoop_DeveloperHadoop_Developer
Hadoop_Developer
 
Hareesh
HareeshHareesh
Hareesh
 
Joginder S Sethi Resume
Joginder S Sethi ResumeJoginder S Sethi Resume
Joginder S Sethi Resume
 
Vijay
VijayVijay
Vijay
 
Prashanth Kumar_Hadoop_NEW
Prashanth Kumar_Hadoop_NEWPrashanth Kumar_Hadoop_NEW
Prashanth Kumar_Hadoop_NEW
 
Pankaj Resume for Hadoop,Java,J2EE - Outside World
Pankaj Resume for Hadoop,Java,J2EE -  Outside WorldPankaj Resume for Hadoop,Java,J2EE -  Outside World
Pankaj Resume for Hadoop,Java,J2EE - Outside World
 
SreenivasulaReddy
SreenivasulaReddySreenivasulaReddy
SreenivasulaReddy
 
New Microsoft Office Word Document
New Microsoft Office Word DocumentNew Microsoft Office Word Document
New Microsoft Office Word Document
 
SreenivasulaReddy
SreenivasulaReddySreenivasulaReddy
SreenivasulaReddy
 
hadoop exp
hadoop exphadoop exp
hadoop exp
 
Mukul-Resume
Mukul-ResumeMukul-Resume
Mukul-Resume
 
What it takes to run Hadoop at Scale: Yahoo! Perspectives
What it takes to run Hadoop at Scale: Yahoo! PerspectivesWhat it takes to run Hadoop at Scale: Yahoo! Perspectives
What it takes to run Hadoop at Scale: Yahoo! Perspectives
 
Debtanu_cv
Debtanu_cvDebtanu_cv
Debtanu_cv
 
Amith_Hadoop_Admin_CV
Amith_Hadoop_Admin_CVAmith_Hadoop_Admin_CV
Amith_Hadoop_Admin_CV
 
Anil_BigData Resume
Anil_BigData ResumeAnil_BigData Resume
Anil_BigData Resume
 
Sunshine consulting mopuru babu cv_java_j2ee_spring_bigdata_scala
Sunshine consulting mopuru babu cv_java_j2ee_spring_bigdata_scalaSunshine consulting mopuru babu cv_java_j2ee_spring_bigdata_scala
Sunshine consulting mopuru babu cv_java_j2ee_spring_bigdata_scala
 
Senthilkumar_SQL_New
Senthilkumar_SQL_NewSenthilkumar_SQL_New
Senthilkumar_SQL_New
 

Rameez Rangrez(3)

  • 1. Ramez Rangrez Hadoop Administrator rameezrangrez@gmail.com +91 7743867681 Skills Glossary  SQL, big Data and Eco-System: Apache Hadoop including Hive, Pig, Hbase, Sqoop, Flume, HDFS, Mapreduce, Cloudera and AWS cloud.  hands on expertise in Hadoop administration, Linux, configuration management on large scale environment  results oriented with a laser sharp delivery focus  good exposure of technical approach, strategic analysis and leadership  innovative and resourceful multitasker with strong communication and technical writing skills CloudAge, Pune January 2013 till date Responsibilities:  Configured and deployed fully-distributed Apache Hadoop cluster in the cloud. Deploy new Hadoop infrastructure,Hadoop cluster upgrades,Cluster maintenance,Troubleshooting,Capacity planning, JVM performance tuning and resource optimization.  Troubleshoot and debug Hadoop eco system runtime issues. Recovering from node failures and troubleshooting common Hadoop cluster issues  Working knowledge of Cloudera Manager, Cloudera Director and Cloud Watch.  Commissioning and decommissioning of nodes in a cloud and in-house.  Hands on experience with the Hadoop stack HDFS, MapReduce,Hbase,Pig, Hive, Oozie.Data injection into HDFS and Trash Configuration.  Report generation of running nodes using various benchmarking operations  Experienced in installing hadoop in the Amazon cloud and using Amazon cloud products like EC2, EMR, S3, EBS etc. Connecting S3 to EC2 via data pipeline in CLI  Overriding Hadoop defaults configurations for customization. Configuring Linux Security Services like SSH (Secure Shell).  Evaluation of Hadoop infrastructure requirements and design/deploysolutions (high availability, big data clusters, etc)  Work with the team in providing hardware architectural guidance, planning and estimating cluster capacity, and creating roadmaps for Hadoop cluster deployment.Preparation ofarchitecture,design and operational documentation.  Expertise in performance tuning, storage capacity management.  Documenting all production scenarios, issues and resolutions. Experience with versioning, change control, problem management. Project Details Title: Customers churn analysis Description: Data analysis used as a background application to motivate manyproblems .Customer churn analysis is done on the telecom data in both volume and complexity. We use cloud-based system,TeleData, which combines data mining, social network analysis and statistics analysis with Mapreduce framework, for knowledge discoveryin telecommunications.
  • 2. Contribution: • Analysis of specifications provided by client. • Involved in requirement analysis and understanding the functionalities. • Interaction with the team and business users. Education and Certification  HSC – SSA juniour college of Science, Solapur(2008)  BE Eletronics and telecomunication-BMIT Solapur(2012)  CDAC in embedded systems and VLSI designing Personal Details Birth Date : 13 October 1990 Nationality : Indian Marital Status : looking Languages Known : English, Marathi and Hindi,Arabic Passport : No PresentAddress : B-09, Rohan Enclave, Opp CME, Old Pune Mumbai Hoghway,Dapodi, Pune Hobbies  Searching trick behind game logic for android games, Playing cricket