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Data Engineering

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Data Engineering & Data Analytics

Data engineering and data analysis represent two distinct yet intricately connected roles within the realm of data science and analytics.

Data Engineering

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About it

At the heart of informed decision-making and innovation, our approach to Data Engineering at GMS is shaped by experts committed to collecting, integrating, transforming and effectively managing data.

We unite technical precision with strategic vision to transform raw data into valuable insights, empowering organizations to thrive in an increasingly data-driven world.

Professional Profiles

Data Collection
Expertise in extracting crucial insights from diverse sources, providing a complete view for more informed decisions.
Data Integration
Efficiency in integrating data with powerful tools, facilitating in-depth analysis and revealing business opportunities.
Data Pipeline Management
Precise supervision for continuous operations and agile resolution of challenges, ensuring reliability in each process.
Data Storage
Secure and efficient management, covering different types of storage for easy access to meaningful insights.
Data Transformation
Transforming raw data into usable formats, simplifying information for direct application to business objectives.
Scalability and Performance
Optimization for optimal scalability and performance, ensuring your systems are ready to face challenges in distributed computing environments.

Data Collection

Expertise in extracting crucial insights from diverse sources, providing a complete view for more informed decisions.

Data Integration

Efficiency in integrating data with powerful tools, facilitating in-depth analysis and revealing business opportunities.

Data Pipeline Management

Precise supervision for continuous operations and agile resolution of challenges, ensuring reliability in each process.

Data Storage

Secure and efficient management, covering different types of storage for easy access to meaningful insights.

Data Transformation

Transforming raw data into usable formats, simplifying information for direct application to business objectives.

Scalability and Performance

Optimization for optimal scalability and performance, ensuring your systems are ready to face challenges in distributed computing environments.
Technologies We Use
SQL
NoSQL
ETL
Data Warehousing
Python
Java
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We have the  best professionals with skills to help you boost your projects and ensure their success.
"Innovation is fueled by data. The more data you have, the more innovation you can achieve."
Mark Zuckerberg
CEO of meta/facebook.

Data Analyst &
Analytics

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About it

Data analytics involves the process of investigating, refining, converting, and interpreting data with the objective of uncovering valuable insights, patterns, and trends to support decision-making and enhance business outcomes.
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It serves as an essential element within the realm of data science and plays a pivotal role across a range of domains, including business, healthcare, finance, marketing, and more.
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Some key facets of data analytics include its multidisciplinary nature, demanding expertise in statistics, data manipulation, programming (e.g., Python, R), domain-specific knowledge, and data visualization.

The insights derived from data analytics empower data-informed decision-making, enhance business strategies, and provide organizations with a competitive edge in our data-centric landscape.

Professional Profiles

Data Analyst
Responsible for collecting, processing and analyzing data to extract actionable insights and support business decisions.
Data Quality Analyst
Ensures data integrity and accuracy by implementing practices to improve data quality.
Business Intelligence Analyst
It focuses on data analysis to provide practical insights to companies, often using business intelligence tools.
Forecasting Analyst
Uses statistical methods to predict future trends based on historical data.
Operations Analyst
Analyzes data related to an organization's operations to optimize processes and efficiency.
Market Research Analyst
uses data to evaluate market trends, consumer behavior and competitive insights.

Data Analyst

Responsible for collecting, processing and analyzing data to extract actionable insights and support business decisions.

Data Quality Analyst

Ensures data integrity and accuracy by implementing practices to improve data quality.

Business Intelligence Analyst

It focuses on data analysis to provide practical insights to companies, often using business intelligence tools.

Forecasting Analyst

Uses statistical methods to predict future trends based on historical data.

Operations Analyst

Analyzes data related to an organization's operations to optimize processes and efficiency.

Market Research Analyst

uses data to evaluate market trends, consumer behavior and competitive insights.
Technologies We Use
Apache Atlas
Apache Kafka
Apache Nifi
Data Warehousing
AWS Kinesis
Apache Talend
Trifacta e Pandas
Apache Airflow
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