Himanshu A.

Himanshu A.

Big Data And Java Software Developer at Impetus Technologies

Indore , India

Experience: 4 Years

Himanshu

Indore , India

Big Data And Java Software Developer at Impetus Technologies

2669.13 USD / Year

  • Notice Period: 60 Days

4 Years

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About Me

• 2 years of experience in the field of Information Technology, principally in development in Antlr, Hive, Spark, Java. 

• Experience of working on Informatica, Databricks, Snowflake, Spark, Scala, XML parsing...

• Good knowledge of different databases like Teradata, Netezza, Oracle, etc. 

• Good knowledge of ETL tool Informatica. 

• Extensive experience of working on different client assignments 

• Zeal to learn new things, excellent communication skills, Analytical and Interpersonal Skills 

• Good Exposure on cloud services of AWS, Azure. 

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Portfolio Projects

Informatica to Pyspark Conversion (TFS)

Transformed the Informatica ETL logic to Pyspark Code

Company

Informatica to Pyspark Conversion (TFS)

Role

Mobile Developer

Contribute

Develop Workload transformation tool to support and parse the Informatica .Benchmarking on different platforms like databricks, cloudera and Altus Director. Complete ownership of the project.

Description

The Purpose of this project is to transform the data of TFS from Informatica to Hadoop using Workload transformation tool of Impetus. It involves migration of data, translation of queries of Netezza to Hive, execution of queries on Hive and data validation

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Workload Transformation (Informatica Conversion)

Informatica and Netezza to pyspark

Company

Workload Transformation (Informatica Conversion)

Role

Mobile Developer

Contribute

Build the various features for the assessment of the client scripts. Took the ownership for the conversion of the various client Scripts with end to end execution.

Description

 The purpose of the Project was to translate the Teradata and informatica Scripts into Hive/Spark compatible queries for various clients . 

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Verifications

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Preferred Language

  • English - Fluent

Available Timezones

  • Pacific Daylight [UTC -7]

  • Mountain Daylight [UTC -6]

  • Central Daylight [UTC -5]

  • Eastern Daylight [UTC -4]

  • Eastern European [UTC +2]

  • Greenwich Mean [UTC ±0]

  • Eastern EST [UTC +3]

  • Further EET [UTC +3]

  • Dubai [UTC +4]

  • New Delhi [UTC +5]

  • China (West) [UTC +6]

  • Singapore [UTC +7]

  • Hong Kong (East China) [UTC +8]