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Kalindi Balaji Lokare ShortList

Kalindi Lokare ( 519 )

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General Information

  • Gender Female
  • Date of Birth 28 January 1991
  • Martial Status Married
  • Mobile Number +971561729720
  • Address Al Nahda, Sharjah
  • Nationality Indian
  • Objective Over 5.10 years of professional IT experience which includes experience in Data engineering, Big data ecosystem and SQL related technologies. I have worked with a breadth of tools & techniques in these areas. I aspire to be a competent data engineer. I look forward to working on challenging projects that will help me grow further in the big data ecosystem.
  • Vacancy Category  Computer Programmer
  • Language Known English, Hindi, Marathi
  • Total Years of Experience 6
  • Expected Job Level Mid-level
  • Current Salary INR40000
  • Expected Salary AED 12000
  • Employement Type Full Time
  • Visa Status Sponser/ Relative visa
  • Career Statement Over 5.10 years of professional IT experience which includes experience in Data engineering, Big data ecosystem and SQL related technologies. I have worked with a breadth of tools & techniques in these areas. I aspire to be a competent data engineer. I look forward to working on challenging projects that will help me grow further in the big data ecosystem.
  • Interests / hobbies Painting, Collecting old coins, Making arts and crafts
  • UAE driving License No
  • Certificate Attested No
  • Notice Period/ Days - If You Selected Immediate Available

Education

2009-2013
Pune Institute of Computer Technology (PICT), Pune ,Maharashtra, IndiaBachelor of Engineering

Projects :

Hand Motion Detection andrnInterpretation for Indian SignrnLanguage

Student Database System

Bank Database System       

Hospital Management System

Matrimonial Website            

Online Electronic Store


Work Experience

June 2015 - March 2021
Defacto Veritas Certification Pvt. Ltd, Pune, Maharashtra, IndiaJr.Big Data Consultant

Developed MapReduce programs to parse the rawrndata, populate staging tables and store the refined data in partitioned tables.rnCreated Hive queries that helped market analysts spot emerging trends byrncomparing fresh data with EDW reference tables and historical metrics. Enabledrnspeedy reviews and first mover advantages by using Oozie to automate datarnloading into the Hadoop Distributed File System and PIG to pre-process therndata. Managed and reviewed Hadoop log files. Tested raw data and executedrnperformance scripts. Shared responsibility for administration of Hadoop, Hivernand Pig


Summary of Skills

Hadoop, MapReduce, HDFS, Hive, HBase, Pig, Sqoop, Spark, Oozie, Scala, Flume, Impala, Kafka
90%
Oracle, MySQL, SQL Server
90%
LINUX (Ubuntu, CentOs),Google Cloud Platform, AWS, Microsoft Azure, Cloudera Quickstart VM 5.13.0, MS-DOS, Windows Family, Fedora
90%
MS Visual Studio, SQL Server 2014
80%
Visual Studio 2010, Anjuta (LINUX), Eclipse
75%
VB Script, JavaScript, HTML, PHP
75%
C, C++, VB, Java, Assembly Language, SQL
90%
Informatica PowerCenter 10.2.1, Informatica BDM 10.2.1
90%

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