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Shabeeruddin Munveruddin
Chennai, India
CodersRank Score
What is this?
This represents your current experience. It calculates by analyzing your connected repositories. By measuring your skills by your code, we are creating the ranking, so you can know how good are you comparing to another developers and what you have to improve to be better
Information on how to increase score and ranking details you can find in this blog post.
4.4
CodersRank Rank
Top 8%
Highest experience points: 0 points,
0 activities in the last year
Python
2.9
exp.
Go
1.5
exp.
List your work history, including any contracts or internships
Cognizant Technology Solutions
Mar 2017 - May 2020 (3 years 2 months)
Data Engineer
• Develop, construct, test and maintain architectures.
• Analyzing the requirements of Business and align architecture with the requirements.
• Using programming language and tools to acquis Data and Develop data set processes.
• Build the infrastructure required for optimal extraction, transformation, and loading of data
from a wide variety of data sources using SQL and AWS ‘Big data’ technologies.
• Identifying ways to improve data reliability, efficiency and quality.
• Use data analysis to discover tasks that can be automated.
• Working with stakeholders including the Product, Data and Design teams to assist with
data-related technical issues and support their data infrastructure needs.
• Work with data and analytics experts to improvise for greater functionality in our data systems.
• Creating Alerts based on events in AWS through Splunk.
• Analyzing the requirements of Business and align architecture with the requirements.
• Using programming language and tools to acquis Data and Develop data set processes.
• Build the infrastructure required for optimal extraction, transformation, and loading of data
from a wide variety of data sources using SQL and AWS ‘Big data’ technologies.
• Identifying ways to improve data reliability, efficiency and quality.
• Use data analysis to discover tasks that can be automated.
• Working with stakeholders including the Product, Data and Design teams to assist with
data-related technical issues and support their data infrastructure needs.
• Work with data and analytics experts to improvise for greater functionality in our data systems.
• Creating Alerts based on events in AWS through Splunk.