Data Modeling developer

A Data Modeling Developer designs, implements, and documents data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL databases. They create concepts for data model frameworks, define data model patterns, establish data naming standards, and ensure data models align with the strategic data architecture. They work closely with data analysts, data engineers, and other stakeholders to ensure data structures are efficient, scalable, and meet the needs of the company. They also monitor the performance of database systems and make changes to data structures to improve performance.

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Data Modeling developer

Hiring a Data Modeling developer is crucial for businesses dealing with large volumes of data. They design models that convert complex data into a structured format, enabling easy analysis and decision-making. Their expertise helps in understanding trends, predicting outcomes, and making data-driven strategies. They ensure data integrity, security, and optimization. Their role is indispensable in managing and utilizing data efficiently, driving business growth, and gaining a competitive edge. Hence, having a Data Modeling developer is a valuable asset for any data-intensive business.

Andrey Sedletskiy

IT/Programming

Data Modeling,

SQL,

Oracle,

XML,

Informatica,

Dwh,

ETL

Sharif Mulani

IT/Programming

Data Modeling,

Machine Learning,

Java,

Deep Learning,

Spark,

Linux,

PyTorch,

SAP,

Python,

Oracle,

nosql

Dmitry Shkadarevich

IT/Programming

Data Modeling,

Deep Learning,

Computer Vision,

C++,

Python

Hleb Shylau

IT/Programming

Data Modeling,

Java,

REST,

kanban,

Scrum,

MySQL,

Git,

Jira,

Docker,

Spring

Iurii Delibaltov

IT/Programming

Data Modeling,

Fintech,

AI,

LLM,

Enterprise architecture,

Stakeholder Management,

Requirements Analysis

Mikhail Rubinov

IT/Programming

Data Modeling,

SQL,

Python,

pandas,

PyTorch,

Tensorflow,

Tableau,

Big data

Andrey Sedletskiy

IT/Programming

Data Modeling,

SQL,

Oracle,

XML,

Informatica,

Dwh,

ETL

Sharif Mulani

IT/Programming

Data Modeling,

Machine Learning,

Java,

Deep Learning,

Spark,

Linux,

PyTorch,

SAP,

Python,

Oracle,

nosql

Dmitry Shkadarevich

IT/Programming

Data Modeling,

Deep Learning,

Computer Vision,

C++,

Python

Hleb Shylau

IT/Programming

Data Modeling,

Java,

REST,

kanban,

Scrum,

MySQL,

Git,

Jira,

Docker,

Spring

Iurii Delibaltov

IT/Programming

Data Modeling,

Fintech,

AI,

LLM,

Enterprise architecture,

Stakeholder Management,

Requirements Analysis

Mikhail Rubinov

IT/Programming

Data Modeling,

SQL,

Python,

pandas,

PyTorch,

Tensorflow,

Tableau,

Big data

Andrey Sedletskiy

IT/Programming

Data Modeling,

SQL,

Oracle,

XML,

Informatica,

Dwh,

ETL

Sharif Mulani

IT/Programming

Data Modeling,

Machine Learning,

Java,

Deep Learning,

Spark,

Linux,

PyTorch,

SAP,

Python,

Oracle,

nosql

Dmitry Shkadarevich

IT/Programming

Data Modeling,

Deep Learning,

Computer Vision,

C++,

Python

Hleb Shylau

IT/Programming

Data Modeling,

Java,

REST,

kanban,

Scrum,

MySQL,

Git,

Jira,

Docker,

Spring

Iurii Delibaltov

IT/Programming

Data Modeling,

Fintech,

AI,

LLM,

Enterprise architecture,

Stakeholder Management,

Requirements Analysis

Hiring a Data Modeling developer brings substantial benefits to your organization. They create structures that enable efficient data management, reducing unnecessary data redundancy and ensuring data integrity. They are skilled in organizing complex data types, designing schemas, and creating visual representations of data structures which simplifies comprehension for stakeholders.

Data Modeling developers also facilitate effective communication between technical and non-technical teams by translating business needs into technical requirements. They ensure that databases are designed to meet business objectives, thus increasing operational efficiency.

With their expertise, they can predict future data trends and patterns, which is valuable in strategic planning. They ensure data security and privacy by designing models that adhere to compliance standards.

Moreover, their role is crucial in big data analytics. They optimize data architectures to improve data processing speed and storage efficiency, which allows for quick and informed decision-making. Their models also provide a solid foundation for machine learning algorithms, thus enhancing your organization's AI capabilities.

In essence, a Data Modeling developer plays a vital role in maximizing the value of your organization's data, improving business intelligence, and driving strategic decisions.

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Selection process is free of charge

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Each professional has been selected for the highest level of expertise

No workplace expenses

Free replacement of the specialist at the request of the customer

Professional's specific field of expertise