Data Modelling developer

A Data Modelling Developer designs, creates, and manages data models that dictate how data is stored, consumed, integrated, and managed in databases. They analyze organizational data requirements and translate them into logical and physical data models, ensuring accuracy, efficiency, and scalability. They also optimize data architectures, set standards for data management, and collaborate with other teams to implement and maintain databases. Their role involves troubleshooting and resolving data-related issues and improving system performance. They play a crucial role in data analysis, data migration, database design, data extraction, and data security. They also ensure data integrity and quality across databases.

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Data Modelling developer

Hiring a data modelling developer is crucial for businesses dealing with large volumes of data. They help in structifying and organizing this data, ensuring it's easily accessible and interpretable. This aids in informed decision-making, predictive analysis, and strategic planning. Their skills can improve data management, reduce redundancy, and enhance data quality. They can also help in creating efficient database designs that ensure optimal system performance and data security. Overall, a data modelling developer can significantly contribute to leveraging your data to its full potential.

Andrey Rysin

IT/Programming

Data Modelling,

Computer Vision,

Docker,

Git,

Linux,

Machine Learning,

PostgreSQL,

Python,

SQL,

Python Numpy,

Quantitative,

PyTorch,

Research,

Neural networks,

OOP,

Data Analysis,

Data Science,

Deep Learning

Alexander Bobrovski

IT/Programming

Data Modelling,

JavaScript,

MySQL,

perl,

PHP,

PostgreSQL,

Python,

SQL,

Tableau,

Cognos,

DB2,

Google Cloud Platform

Nurzhan Kadyrbekova

IT/Programming

Data Modelling,

Agile,

API,

Git,

HTML,

http,

Java,

Jenkins,

JSON,

Linux,

MySQL,

Postman,

Regression Testing,

REST,

Scrum,

Selenium,

SOAP,

XML,

Apache Maven,

Patterns,

Selenium WebDriver,

Smoke Testing,

Test Cases,

Test Planning,

Testing Framework,

Trello,

Design testing

Sravan Kumar

IT/Programming

Data Modelling,

C#,

CSS,

HTML,

JavaScript,

marketing,

SQL,

Azure,

Power BI

Denis Borisov

IT/Programming

Data Modelling,

AWS,

Docker,

PostgreSQL,

Python,

RabbitMQ,

Redis,

SQL,

Ansible,

GitLab,

Kubernetes,

SQLAlchemy,

asyncio,

Helm

Alexander Temnikov

IT/Programming

Data Modelling,

REST,

SOAP,

SQL,

Oracle database,

PL/SQL,

Teradata,

UML,

BPMN

Andrey Rysin

IT/Programming

Data Modelling,

Computer Vision,

Docker,

Git,

Linux,

Machine Learning,

PostgreSQL,

Python,

SQL,

Python Numpy,

Quantitative,

PyTorch,

Research,

Neural networks,

OOP,

Data Analysis,

Data Science,

Deep Learning

Alexander Bobrovski

IT/Programming

Data Modelling,

JavaScript,

MySQL,

perl,

PHP,

PostgreSQL,

Python,

SQL,

Tableau,

Cognos,

DB2,

Google Cloud Platform

Nurzhan Kadyrbekova

IT/Programming

Data Modelling,

Agile,

API,

Git,

HTML,

http,

Java,

Jenkins,

JSON,

Linux,

MySQL,

Postman,

Regression Testing,

REST,

Scrum,

Selenium,

SOAP,

XML,

Apache Maven,

Patterns,

Selenium WebDriver,

Smoke Testing,

Test Cases,

Test Planning,

Testing Framework,

Trello,

Design testing

Sravan Kumar

IT/Programming

Data Modelling,

C#,

CSS,

HTML,

JavaScript,

marketing,

SQL,

Azure,

Power BI

Denis Borisov

IT/Programming

Data Modelling,

AWS,

Docker,

PostgreSQL,

Python,

RabbitMQ,

Redis,

SQL,

Ansible,

GitLab,

Kubernetes,

SQLAlchemy,

asyncio,

Helm

Alexander Temnikov

IT/Programming

Data Modelling,

REST,

SOAP,

SQL,

Oracle database,

PL/SQL,

Teradata,

UML,

BPMN

Andrey Rysin

IT/Programming

Data Modelling,

Computer Vision,

Docker,

Git,

Linux,

Machine Learning,

PostgreSQL,

Python,

SQL,

Python Numpy,

Quantitative,

PyTorch,

Research,

Neural networks,

OOP,

Data Analysis,

Data Science,

Deep Learning

Alexander Bobrovski

IT/Programming

Data Modelling,

JavaScript,

MySQL,

perl,

PHP,

PostgreSQL,

Python,

SQL,

Tableau,

Cognos,

DB2,

Google Cloud Platform

Nurzhan Kadyrbekova

IT/Programming

Data Modelling,

Agile,

API,

Git,

HTML,

http,

Java,

Jenkins,

JSON,

Linux,

MySQL,

Postman,

Regression Testing,

REST,

Scrum,

Selenium,

SOAP,

XML,

Apache Maven,

Patterns,

Selenium WebDriver,

Smoke Testing,

Test Cases,

Test Planning,

Testing Framework,

Trello,

Design testing

Sravan Kumar

IT/Programming

Data Modelling,

C#,

CSS,

HTML,

JavaScript,

marketing,

SQL,

Azure,

Power BI

Denis Borisov

IT/Programming

Data Modelling,

AWS,

Docker,

PostgreSQL,

Python,

RabbitMQ,

Redis,

SQL,

Ansible,

GitLab,

Kubernetes,

SQLAlchemy,

asyncio,

Helm

Hiring a Data Modelling Developer can provide a significant boost to your organization's data management capabilities. These professionals can design and implement data models that effectively organize, manage, and interpret your data, enabling you to make informed business decisions.

One of the key advantages of hiring a Data Modelling Developer is their ability to create an efficient data infrastructure. They can create models that streamline data flow, reduce redundancy, and improve the overall integrity and reliability of your data systems. This leads to improved performance and reduces the risk of data-related issues.

Data Modelling Developers also play a crucial role in facilitating better communication between different departments. Their models provide a clear, visual representation of data structures, making it easier for non-technical stakeholders to understand complex data concepts and participate in data-driven decision-making.

Furthermore, their expertise can help ensure compliance with data regulations. They can design models that incorporate necessary safeguards and controls, reducing the risk of non-compliance penalties.

Finally, by providing a clear view of your data landscape, a Data Modelling Developer can help identify new opportunities for data utilization, driving innovation and growth. They can uncover patterns and trends that may have otherwise gone unnoticed, enabling you to leverage your data assets more effectively.

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