Data Normalization developer

A Data Normalization Developer is responsible for standardizing and organizing data within databases. They design, implement and maintain data normalization rules to reduce data redundancy and improve data integrity. They ensure that data follows a standard format, making it easier to manage, analyze, and integrate with other data sources. They often work closely with data analysts, data scientists, and other stakeholders to understand their data needs. Additionally, they may also assist in data cleaning, transformation, and migration tasks. Their role is crucial in enhancing data quality and facilitating efficient data utilization in an organization.

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Data Normalization developer

Hiring a Data Normalization developer is crucial for managing your business's data more effectively. They ensure data consistency, reduce data redundancy, and improve data integrity by structuring it into an organized format. This leads to efficient data retrieval and storage, resulting in better performance and accuracy in data-driven decision-making. Their expertise can help you avoid potential pitfalls from wrongly interpreted data, saving time and resources, thereby increasing productivity. By hiring a data normalization developer, you pave the way for better data management and analytics, which ultimately drives business growth.

Olga Shevtsova

IT/Programming

Data Normalization,

1C,

Agile,

DevOps,

ERP,

XML,

Business Analysis,

Product Management

Vladimir Yakovenko

IT/Programming

Data Normalization,

Bash,

Django,

Docker,

flask,

HTML,

JavaScript,

Linux,

MongoDB,

MSSQL,

MySQL,

Oracle,

PostgreSQL,

Python,

SQL,

GraphQL

Milton Coral

IT/Programming

Data Normalization,

AWS,

Bash,

JavaScript,

Linux,

MySQL,

PostgreSQL,

Python,

SQL,

Windows,

Zabbix,

KVM,

Terraform,

VMware,

Hyper-v,

Artificial Intelligence,

Network Architecture,

Data Analysis

Aleksandr Kvekveskiri

IT/Programming

Data Normalization,

C#,

Docker,

Java,

Jenkins,

Oracle,

Postman,

Selenium,

Zabbix,

Debian,

Apache Hadoop

Isam Basheir

IT/Programming

Data Normalization,

Python,

SQL,

PowerBuilder

Manish Patil

IT/Programming

Data Normalization,

C#,

C++,

Java,

JavaScript,

Oracle,

SQL,

OOP

Olga Shevtsova

IT/Programming

Data Normalization,

1C,

Agile,

DevOps,

ERP,

XML,

Business Analysis,

Product Management

Vladimir Yakovenko

IT/Programming

Data Normalization,

Bash,

Django,

Docker,

flask,

HTML,

JavaScript,

Linux,

MongoDB,

MSSQL,

MySQL,

Oracle,

PostgreSQL,

Python,

SQL,

GraphQL

Milton Coral

IT/Programming

Data Normalization,

AWS,

Bash,

JavaScript,

Linux,

MySQL,

PostgreSQL,

Python,

SQL,

Windows,

Zabbix,

KVM,

Terraform,

VMware,

Hyper-v,

Artificial Intelligence,

Network Architecture,

Data Analysis

Aleksandr Kvekveskiri

IT/Programming

Data Normalization,

C#,

Docker,

Java,

Jenkins,

Oracle,

Postman,

Selenium,

Zabbix,

Debian,

Apache Hadoop

Isam Basheir

IT/Programming

Data Normalization,

Python,

SQL,

PowerBuilder

Manish Patil

IT/Programming

Data Normalization,

C#,

C++,

Java,

JavaScript,

Oracle,

SQL,

OOP

Olga Shevtsova

IT/Programming

Data Normalization,

1C,

Agile,

DevOps,

ERP,

XML,

Business Analysis,

Product Management

Vladimir Yakovenko

IT/Programming

Data Normalization,

Bash,

Django,

Docker,

flask,

HTML,

JavaScript,

Linux,

MongoDB,

MSSQL,

MySQL,

Oracle,

PostgreSQL,

Python,

SQL,

GraphQL

Milton Coral

IT/Programming

Data Normalization,

AWS,

Bash,

JavaScript,

Linux,

MySQL,

PostgreSQL,

Python,

SQL,

Windows,

Zabbix,

KVM,

Terraform,

VMware,

Hyper-v,

Artificial Intelligence,

Network Architecture,

Data Analysis

Aleksandr Kvekveskiri

IT/Programming

Data Normalization,

C#,

Docker,

Java,

Jenkins,

Oracle,

Postman,

Selenium,

Zabbix,

Debian,

Apache Hadoop

Isam Basheir

IT/Programming

Data Normalization,

Python,

SQL,

PowerBuilder

Hiring a Data Normalization Developer can bring significant advantages to your organization. Firstly, they can enhance the efficiency of your database systems. Normalized data reduces data redundancy and improves data integrity, which in turn leads to more efficient data processing and storage. This results in faster query performance and better system response times.

Secondly, they can help ensure data consistency. By establishing rules for data entry and storage, a Data Normalization Developer can prevent inconsistencies and errors from cropping up in your data sets. This leads to higher quality data, which is key to making accurate business decisions.

Thirdly, they can facilitate data security. Normalization separates data into different tables according to user access levels, making it easier to implement security measures and control who has access to what data.

Lastly, they can streamline database management and modifications. With normalized data, changes like updates, insertions, or deletions can be made in one place only, making the process less complex and reducing the chance of errors.

In conclusion, a Data Normalization Developer can greatly contribute to boosting your database system’s performance, ensuring data quality, enhancing data security, and simplifying database management - all crucial for effective data-driven decision making.

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