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Himanhu (RID : 1i6xalahtbkzt)

designation   Data Scientist

location   Location : Jaipur

experience   Experience : 9 Year

rate   Rate: $20 / Hourly

Availability   Availability : Immediate

Work From   Work From : Offsite

designation   Category : Information Technology & Services

Shortlisted : 2
Total Views : 168
Key Skills
Data Scientist PYTHON MS SQL Server Azure DataBricks PySpark


Professional Summary:

  • Around 9 years’ of extensive professional software development experience.
  • Having 6 years ’ experience on PYTHON Pandas DataFrame.
  • 4 years’ of experience in team handling. Max 12 members of the dev team handled.
  • 2 years’ of experience in Independently handling clients and their requirements. Requirement review, analysing scope of work.
  • Extensive experience in MS SQL Server, Azure DataBricks, Azure Data Factory, PySpark, Hdoop, Azure Synapse.
  • Good understanding of PYTHON using components: Pandas DataFrame, Numpy, Matplotlib, Pysftp, SQLALCHEMY.
  • Team player with good interpersonal skills.
  • Excellent verbal and written communications skills.


  • Python, Pandas, Azure
  • DataBricks, Azure Data Factory,
  • PySpark, Hadoop, Synapse, Linked
  • Services, GIT, AWS, RDS,
  • Athena, Secret Manager,
  • Amazon WorkSpace, S3 Bucket,
  • GitLab, CI/CD Pipelines, CI/CD
  • Jobs, Jenkins, Docker, Yaml,
  • Citrix, Amazon Simple
  • Notification Service (SNS) |
  • Messaging Service, Amazon
  • Simple Queue Service, Athena,
  • Data migration, Selenium,
  • crome web driver, urllib2,
  • shutil, function tools, paramiko,
  • logging, pyodbc, os, os.path,
  • base64, create_engine,
  • credentials, accounts, JIRA,
  • SQLALCHEMY, Matplotlib,
  • Flask, Numpy, Matplotlib,
  • Pysftp, Docker, Alert
  • notifications | Grafana Labs.

Technical Skills:

Technology Python, PySpark


Tools Jupyter, PyCharm, VS Code, GitLab, Azure

Synapse, Big Data Technologies Azure DataBricks, Azure Data Factory, PySpark,

Synapse, Pandas DataFrame, Numpy,

Matplotlib, Pysftp, and SQLALCHEMY


Aug 2021 - Till Data Engineer a


Domain: Insurance

Handling Team of 7 members

Nov 2016 - Aug 2021 Senior Python Developer

Ebix Software India Pvt Ltd, Noida

Domain: Insurance

Handling Team of 12 members

Apr 2015 - Oct 2016 Software Developer

Pinaka Aerospace Solutions Pvt Ltd, Delhi

Domain: Defense

Feb 2013 - Mar 2015 Software Developer

Oaxis Software Solutions, Noida

Domain: Web Based Applications


2008 - 2012 Bachelors of Technology (IT)

Sunder Deep Group of Institutions, Ghaziabad, UPTU

2006 - 2007 Intermediate

Shivaji Inter College, Kanpur

2004 - 2005 Matriculation

Shivaji Inter College, Kanpur

Domain Knowledge: Insurance / Finance

Projects Undertaken:

1. DentsPlySirona —ERP system Data Warehousing (ETL

Development) .

● Big data Developer or Azure Python Developer.

● There are 3 stages. i.e; Source-to-Raw, Raw-to-Refined, and


● Client’s Data received into the raw layer from Qlik.

● Quality checks are performed on raw data and stored into a

refined layer.

● Transformation is applied to The Refined data and is stored in

the form of Dimension and Facts.

Environment: Azure DataFactory, Azure Data Bricks, Azure Synapse,

Azure Linked Services, SSMS, Blob, File format like; CSV, Parquet,

etc., Pipeline, Activities, DataSets, Linked Services,

2. Otsuka File DQ Checks.

● Quality checks performed on received files like, File Name, File

Type, File Size, File Header, etc.

● First files are validated based on file_Name_Pattern along

with the File Format match as mentioned.

● Then checked for File_Size if all checks pass then the system

looks for the First Row (Header) in the file and compares them.

Environment: Python 3, Gitlab Ci/CD pipeline, AWS, PyMysql, AWS

SNS, SQS, S3 bucket, boto, Pandas, Amazon Workspace, AWS

secret manager, AWS Athena.

3. Data Ingestion Data exchange between vendor and Genpact


● Python, Panda, numby, boto3, pymysql, gzip, MD5, Docker,

GIT, AWS, RDS, Athena, Secret Manager, Amazon WorkSpace,

S3 Bucket, GitLab, CI/CD Pipelines

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