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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
Discription

Himanshu

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.

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

RDBMS MS SQL (SSMS), MySQL

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

Experience:

Aug 2021 - Till Data Engineer a

IBOTIX LLP, NOIDA

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

Education:

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

Refined-to-Certified.

● 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

Process.

● 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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