Data Matching developer

A Data Matching Developer is responsible for designing and implementing algorithms and systems to match, link or merge data from different sources. They deal with issues like duplicate detection, data deduplication, record linkage, and identity resolution. They work with large datasets, often using machine learning techniques, to identify patterns and relationships, ensuring data consistency and accuracy. Their role also includes performing data quality checks, troubleshooting data discrepancies, and creating documentation for data matching procedures. They collaborate closely with data analysts, data scientists, and other stakeholders, to optimize data usage and enhance business decisions.

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Data Matching developer

Hiring a Data Matching developer is crucial for businesses dealing with large volumes of data. They ensure accuracy and consistency in data by identifying and merging duplicate entries, improving data quality and integrity. This enables better decision-making based on precise data analytics. Their expertise can also help in customer segmentation, targeted marketing, and fraud detection. Furthermore, they help in maintaining regulatory compliance by ensuring data privacy and accuracy. Therefore, a Data Matching developer is a valuable asset for enhancing operational efficiency, improving customer relations, and driving business growth.

Vladimir Yakovenko

IT/Programming

Data Matching,

Bash,

Django,

Docker,

flask,

HTML,

JavaScript,

Linux,

MongoDB,

MSSQL,

MySQL,

Oracle,

PostgreSQL,

Python,

SQL,

GraphQL

Konstantin Baranov

IT/Programming

Data Matching,

Git,

PHP,

PostgreSQL,

RabbitMQ

Max Repp

IT/Programming

Data Matching,

Android,

Android SDK,

Kotlin,

Flutter,

JetPack

Mostafa Hassan

IT/Programming

Data Matching,

C#,

Django,

Java,

Python,

Spring

Aleksandr Shcherbakov

IT/Programming

Data Matching,

Docker,

PHP,

Vue.js,

CI/CD methodologies

Vladimir Yakovenko

IT/Programming

Data Matching,

Bash,

Django,

Docker,

flask,

HTML,

JavaScript,

Linux,

MongoDB,

MSSQL,

MySQL,

Oracle,

PostgreSQL,

Python,

SQL,

GraphQL

Konstantin Baranov

IT/Programming

Data Matching,

Git,

PHP,

PostgreSQL,

RabbitMQ

Max Repp

IT/Programming

Data Matching,

Android,

Android SDK,

Kotlin,

Flutter,

JetPack

Mostafa Hassan

IT/Programming

Data Matching,

C#,

Django,

Java,

Python,

Spring

Aleksandr Shcherbakov

IT/Programming

Data Matching,

Docker,

PHP,

Vue.js,

CI/CD methodologies

Vladimir Yakovenko

IT/Programming

Data Matching,

Bash,

Django,

Docker,

flask,

HTML,

JavaScript,

Linux,

MongoDB,

MSSQL,

MySQL,

Oracle,

PostgreSQL,

Python,

SQL,

GraphQL

Konstantin Baranov

IT/Programming

Data Matching,

Git,

PHP,

PostgreSQL,

RabbitMQ

Max Repp

IT/Programming

Data Matching,

Android,

Android SDK,

Kotlin,

Flutter,

JetPack

Mostafa Hassan

IT/Programming

Data Matching,

C#,

Django,

Java,

Python,

Spring

Hiring a Data Matching Developer offers several benefits to businesses. Firstly, they bring technical expertise to accurately match and link data across various sources, ensuring consistent and reliable data. This can significantly improve decision-making processes as businesses rely heavily on accurate data for strategic planning.

Secondly, they possess a deep understanding of data matching algorithms and techniques, which can help in identifying duplicates and maintaining a clean database. This increases operational efficiency and reduces the likelihood of errors.

Thirdly, they can help in enhancing customer relationships. By matching and consolidating customer data, they can provide a comprehensive view of each customer, enabling personalized marketing and improved customer service.

Fourthly, they ensure data privacy and security compliance. They can design data matching processes that respect privacy laws and data protection regulations, minimizing the risk of legal and reputational damage.

Lastly, they can contribute to cost savings. By automating data matching processes, they can reduce the time and resources dedicated to manual data cleaning and validation. This leads to significant cost reductions and allows personnel to focus on more strategic tasks.

Overall, hiring a Data Matching Developer can significantly improve the quality of data, operational efficiency, customer relationships, compliance, and cost-effectiveness in a business.

Only the best and the most experienced IT professionals

Selection process is free of charge

Reduced operating costs

Each professional has been selected for the highest level of expertise

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Free replacement of the specialist at the request of the customer

Professional's specific field of expertise