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SRINIVAS (RID : 131k8lmbtonak)

designation   ANALYTICS PLATFORM

location   Location : DELHI

experience   Experience : 7 Year

rate   Rate: $21 / Hourly

Availability   Availability : Immediate

Work From   Work From : Offsite

designation   Category : Information Technology & Services

Shortlisted : 0
Total Views : 47
Key Skills
AWS CI/CD SQL GIT PYSPARK HADOOP OOZIE YARN
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Nittala Satya Srinivas

Data Engineer & Data Architect at Confidential

 

Overall 9+ years of Data technologies / Data governance experience, 7+ years Hadoop implementation experience

 

 

 

 

 

 

 

 

 

SKILLS

 

 

WORK EXPERIENCE

 

Data Engineer & Data Architect

Confidential

10/2021 - Present,                                                                                                                                                      Hyderabad, India

HCL Technologies is a next-generation global technology company that helps enterprises reimagine their businesses for the digital age.

 

 

Data Engineer

COnfidential

03/2014 - 10/2021,                                                                                                                                                           Chennai, India

Tata Consultancy Services is an Indian multinational technology company that specializes in information technology services and consulting, headquartered in Mumbai, Maharashtra

Contact : https://www.tcs.com/

 

 

Data technologies

 

 

 

Hadoop Ecosystem including HDFS, Hive, Sqoop, Oozie, Spark, Pyspark, Yarn.

     CERTIFICATES

 

 

AWS Services

AWS cloud practitioner (05/2023 - Present) AWS Solution architect (07/2023 - Present)

 

 

 

 

Data Governance

 

Object Oriented Designing

PERSONAL PROJECTS

Bayer AG (09/2019 - Present)

 

Unix Shell Scripting

DocTopus is a fully integrated approach combining metadata management with the assessment of data quality and end to end model of metadata but also use business rules to assure high data quality standards and same product using in 108 Countries. · Experience in manipulating/analyzing large datasets and finding patterns and insights within structured and unstructured data

 

 

Hadoop

Data transformation can be simple or complex depending on the data sources, formats, and required output. Some of the data transformation tools like Glue

 

 

CI/CD and GIT

SQL

Storing, organizing, and managing huge data volumes is critical for data engineering job roles, and therefore a deep understanding of database design & architecture is crucial. The two types of databases commonly used are

 
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