Neeraj Kumar
13+ years of IT experience as Big Data Developer/ETL with Hadoop and Spark using ... | Bacchus Marsh, Bacchus Marsh, Australia
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Neeraj Kumar’s Emails ne****@cr****.com
Neeraj Kumar’s Phone Numbers 1972808****
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Neeraj Kumar’s Location Bacchus Marsh, Bacchus Marsh, Australia
Neeraj Kumar’s Expertise 13+ years of IT experience as Big Data Developer/ETL with Hadoop and Spark using Python, scala. Data products and data mesh expertise. synapse analytics platform for big data processing. worked at in-house frameworks. westpac data driven experience platform expertise v1 & v2 (ADAPT). In-depth understanding of Spark Architecture including Spark Core, Spark SQL, Data Frames, Spark Streaming. Strong knowledge in Hadoop ecosystems like HDFS, Hive, Pig, Yarn, Sqoop, Flume, HBase, Oozie, Zoo Keeper and Kafka. Numpy, Pandas, scikitLearn. Experience in working with Amazon Web Services (AWS), EC2, EMR and S3. Experience in working with Azure, Adls, azure data factory, synapse db, cosmos db. Worked on Azure databricks. Worked in Scrum, Agile. ETL Solution Architecture for Enterprise Level Data Warehouse/ Data Marts Data Modelling for Normalized OLTP based as well as Dimensional Modeling Well versed with bill inmon (top down approach) vs ralph kimball (bottom up approach) way of data modeling SQL Server 2008, 2012, 2016 Microsoft BI (SSIS, SSAS) Informatica 9.x, 10.x Power Center Unix Shell Scripting Domain knowledge - insurance (claims & policy) - Banking (Consumer Business and Mortgages) -Telecom
Neeraj Kumar’s Current Industry Tata Consultancy Services
Neeraj
Kumar’s Prior Industry
National Aluminium Company Limited Nalco
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Freelance
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Capgemini
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Accenture
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Infosys
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Tata Consultancy Services
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Work Experience
Tata Consultancy Services
Assistant Consultant
Mon Nov 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time) — Present
Infosys
Senior Consultant
Tue Jun 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time) — Mon Nov 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time)
Accenture
Application Development Team Lead
Wed Oct 01 2014 00:00:00 GMT+0000 (Coordinated Universal Time) — Thu Apr 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time)
Capgemini
Associate Consultant
Mon Jul 01 2013 00:00:00 GMT+0000 (Coordinated Universal Time) — Wed Oct 01 2014 00:00:00 GMT+0000 (Coordinated Universal Time)
Capgemini
Senior Software Engineer
Sun Jan 01 2012 00:00:00 GMT+0000 (Coordinated Universal Time) — Sat Jun 01 2013 00:00:00 GMT+0000 (Coordinated Universal Time)
Freelance
Data Warehouse Engineer
Sun Aug 01 2010 00:00:00 GMT+0000 (Coordinated Universal Time) — Thu Dec 01 2011 00:00:00 GMT+0000 (Coordinated Universal Time)
National Aluminium Company Limited Nalco
Project Intern
Tue Jun 01 2010 00:00:00 GMT+0000 (Coordinated Universal Time) — Thu Jul 01 2010 00:00:00 GMT+0000 (Coordinated Universal Time)Skills
Languages
Neeraj Kumar Email Addresses
Neeraj Kumar Phone Number
FAQ About Neeraj Kumar
-
Neeraj Kumar is located at
Bacchus Marsh, Bacchus Marsh, Australia -
Neeraj Kumar is a
13+ years of IT experience as Big Data Developer/ETL with Hadoop and Spark using Python, scala. Data products and data mesh expertise. synapse analytics platform for big data processing. worked at in-house frameworks. westpac data driven experience platform expertise v1 & v2 (ADAPT). In-depth understanding of Spark Architecture including Spark Core, Spark SQL, Data Frames, Spark Streaming. Strong knowledge in Hadoop ecosystems like HDFS, Hive, Pig, Yarn, Sqoop, Flume, HBase, Oozie, Zoo Keeper and Kafka. Numpy, Pandas, scikitLearn. Experience in working with Amazon Web Services (AWS), EC2, EMR and S3. Experience in working with Azure, Adls, azure data factory, synapse db, cosmos db. Worked on Azure databricks. Worked in Scrum, Agile. ETL Solution Architecture for Enterprise Level Data Warehouse/ Data Marts Data Modelling for Normalized OLTP based as well as Dimensional Modeling Well versed with bill inmon (top down approach) vs ralph kimball (bottom up approach) way of data modeling SQL Server 2008, 2012, 2016 Microsoft BI (SSIS, SSAS) Informatica 9.x, 10.x Power Center Unix Shell Scripting Domain knowledge - insurance (claims & policy) - Banking (Consumer Business and Mortgages) -Telecom Tata Consultancy Services -
Neeraj Kumar currently works in the
Tata Consultancy Services -
Neeraj Kumar specializes in
13+ years of IT experience as Big Data Developer/ETL with Hadoop and Spark using Python, scala. Data products and data mesh expertise. synapse analytics platform for big data processing. worked at in-house frameworks. westpac data driven experience platform expertise v1 & v2 (ADAPT). In-depth understanding of Spark Architecture including Spark Core, Spark SQL, Data Frames, Spark Streaming. Strong knowledge in Hadoop ecosystems like HDFS, Hive, Pig, Yarn, Sqoop, Flume, HBase, Oozie, Zoo Keeper and Kafka. Numpy, Pandas, scikitLearn. Experience in working with Amazon Web Services (AWS), EC2, EMR and S3. Experience in working with Azure, Adls, azure data factory, synapse db, cosmos db. Worked on Azure databricks. Worked in Scrum, Agile. ETL Solution Architecture for Enterprise Level Data Warehouse/ Data Marts Data Modelling for Normalized OLTP based as well as Dimensional Modeling Well versed with bill inmon (top down approach) vs ralph kimball (bottom up approach) way of data modeling SQL Server 2008, 2012, 2016 Microsoft BI (SSIS, SSAS) Informatica 9.x, 10.x Power Center Unix Shell Scripting Domain knowledge - insurance (claims & policy) - Banking (Consumer Business and Mortgages) -Telecom -
Neeraj Kumar speaks the following languages:
No languages available. -
Neeraj Kumar has prior experience in the following industries:
Infosys , Accenture , Capgemini , Capgemini , Freelance , National Aluminium Company Limited Nalco -
Neeraj Kumar has the following professional experience:
Tata Consultancy Services , Infosys , Accenture , Capgemini , Capgemini , Freelance , National Aluminium Company Limited Nalco . -
You can view Neeraj Kumar’s
LinkedIn profile at LinkedIn URL. -
Neeraj Kumar’s work email addresses are
[email protected] . -
Neeraj Kumar works at
Tata Consultancy Services
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