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Data Engineering Service

Revolutionize your company's data management with DATAFOREST! Our data engineering company provides top-tier data architecture and engineering services to enhance productivity, reduce infrastructure costs, and optimize application performance. Plus, our cutting-edge data engineering solutions empower Gen AI models, driving revenue growth and business success. Unlock your full potential with DATAFOREST today!

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New era of data engineering with modern Data pipelines, effective data warehousing and game disruptive Gen AI solutions

Elevate your business' future with advanced data pipelines, optimized data warehousing, and groundbreaking Gen AI solutions.
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Data Engineering for SAAS and digital products

Get the full potential of data without building and maintaining complex infrastructure or hiring specialized talent. Our streamlined approach accelerates time-to-insights and data-driven decisions.
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Data Engineering solutions for Retail and E-Commerce

Optimize operations and deliver personalized customer experiences in retail and e-commerce with our data engineering services. We address fragmented data sources and inefficient data processing.
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Data Architecting
and Consultation

Improve data quality, reduce operational costs, and enable better-informed decision-making. With our vast expertise, we consult and develop a strategic design for a company's data asset management.
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Data Engineering Metaverse

In product development, we design the pipeline to ingest user interaction data, feature usage logs, and feedback surveys. This data is then cleaned, transformed, and aggregated to identify usage patterns. The same pipeline is extended for Gen AI to collect vast amounts of text, images, or other relevant data. DATAFOREST also develops analytical models and dashboards that visualize vital business metrics.
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Fill Generative AI Up to A Full Tank with High-Octane Data!

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How Can You Benefit From Big Data Engineering Services?

01

Gen AI Data Infrastructure

Builds specialized data architectures and infrastructure to support generative AI technologies, enabling advanced machine learning model training, deployment, and data processing capabilities.
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02

Data Pipeline Solutions (ETL)

Designs and implements automated data extraction, transformation, and loading processes to move data between systems efficiently, ensuring data quality, consistency, and readiness for analysis.
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03

API & System Integration

Connects diverse software systems and applications through API frameworks, facilitating seamless data exchange, interoperability, and unified business intelligence.
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04

Performance and Cost Optimization

Enhances data system efficiency by implementing advanced techniques like data compression, optimized storage solutions, and refined query performance to reduce computational costs and improve processing speed.
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05

Data Architecture and DE Consultancy

Provides strategic guidance on designing scalable, secure, and future-proof data infrastructures that align with organizational goals and technological best practices.
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06

BI & Data Analytics

Transforms raw data into actionable insights through advanced visualization tools, statistical analysis, and business intelligence platforms for data-driven decision-making across organizational levels.
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Need Actionable Insights Fast? Our Data Engineering Solutions Deliver.

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Our Successful Data Engineering Cases

We did everything described above, and it turned out well.

Operating Supplement

We developed an ETL solution for a manufacturing company that combined all required data sources and made it possible to analyze information and identify bottlenecks of the process.
30+

supplier integrations

43%

cost reduction

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David Schwarz

Product Owner Biomat, Manufacturing Company
View case study
Operating Supplement case image
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DATAFOREST has the best data engineering expertise we have seen on the market in recent years.

Data-driven marketing

We created a solution that helped optimize the customer base to get the most out of the customer data. This solution notifies the client about the services/goods, which they would likely buy, according to the gathered information.
20%

sales growth

200%

traffic boost

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Jeremy Groves

CEO ThinkDigital, Digital and Marketing Agency
View case study
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They developed solutions that brought value to our business.

Mailing Platform

We created a mailing platform that helps a multi-faceted union to send information about events, opportunities, and grants to all its member companies. The platform stores information about all member companies and makes it easy to send messages to the right people at the right time. This helps member companies to stay informed and improves the union's ability to support the country's businesses.
15%

CX boost

20%

cost optimization

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Gonzalo Ramos

Partner Trade Union
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Mailing Platform preview
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DATAFOREST is reliable in delivering quality solutions. Besides, they demonstrate effective project management and communication despite working remotely.

Performance Measurement

The Retail company struggled with controlling sales and monitoring employees' performance. We implemented a software solution that tracks sales, customer service, and employee performance in real-time. The system also provides recommendations for improvements, helping the company increase profits and improve customer service.
17%

increase in sales

15%

revenue boost

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Amir R.

CEO Fashion Retailer
View case study
Performance Measurement preview
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They easily understand industry-specific data and KPIs, and their efficiency as a team allows them to deliver results quickly.

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Technologies We Use to Handle a Data

arangodb icon
Arangodb
Neo4j icon
Neo4j
Google BigTable icon
Google BigTable
Apache Hive icon
Apache Hive
Scylla icon
Scylla
Amazon EMR icon
Amazon EMR
Cassandra icon
Cassandra
AWS Athena icon
AWS Athena
Snowflake icon
Snowflake
AWS Glue icon
AWS Glue
Cloud Composer icon
Cloud Composer
Dynamodb icon
Dynamodb
Amazon Kinesis icon
Amazon Kinesis
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On premises
AZURE icon
AZURE
AuroraDB icon
AuroraDB
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Databricks
Amazon RDS icon
Amazon RDS
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PostgreSQL
BigQuery icon
BigQuery
AirFlow icon
AirFlow
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Redshift
Redis icon
Redis
Pyspark icon
Pyspark
MongoDB icon
MongoDB
Kafka icon
Kafka
Hadoop icon
Hadoop
GCP icon
GCP
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Elasticsearch
AWS icon
AWS
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Tired of data chaos? Let our data engineering team transform it into actionable insights

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Five Process Steps

Our data engineering service is a collaborative five-step journey.
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Complimentary Data Strategy Session
The consultation is our chance to understand your unique data challenges and goals. We'll delve into the specifics of your project, brainstorm potential solutions, and determine if we're the right fit to transform your data into a strategic asset.
01
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Dive into Your Data Landscape
An inventory of your data sources and destinations: (1) a clear outline of how your ideal data system operates; (2) well-defined criteria to measure success and alignment with goals; (3) a scalable data infrastructure blueprint for optimal performance. The culmination of this stage is a project plan.
02
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Crafting Your Data Solution
Our data engineers roll their sleeves and build the ETL pipelines and APIs to power your data integration. Our DevOps ensures your solution handles any workload you throw at it. Through quality assurance testing, we verify that your data flows seamlessly, accurately, and reliably.
03
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Your Data Solution, Delivered
We believe in collaboration, so we'll keep you in the loop with regular progress updates and invite your feedback throughout development. Open and transparent communication ensures the final product exceeds your expectations.
04
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Your Success, Our Commitment
We offer support and guarantee agreements to ensure your data infrastructure runs smoothly. We're also passionate about continuous improvement—our dedication to building lasting relationships and delivering data solutions that make a difference.
05

Data Engineering Possibilities

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Integrate data over 
your company and 
applications
Get your company data in sync, no matter where it lives.
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Establish effective 
cloud data lakes
Build a cloud-based data hub that's scalable, cost-ffective, and ready for anything.
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Innovative pipelinesto feed Gen AI
Give your AI the fuel it needs with custom pipelines and top-notch data.
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Predictive analytics and data insights as a service
Get the analysis you need when you need it with our expert data services.
Read more

Data Engineering Challenges We Solve

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Gain a Competitive Edge with Real-Time Data Processing
Real-time insights empower you to make smarter decisions, optimize operations, and outpace your rivals in a dynamic market.
    Data Science icon
    Get Ahead with Advanced Data Science
    As a data engineering services company, we use machine learning, predictive analytics, and data mining to discover customer behavior patterns, market trends, and ways to boost efficiency.
    Data Lakes Engineering Services icon
    Try Cloud Data Lakes Engineering Services
    Streamline your data by creating efficient data ingestion and collection processes. This will allow you to centralize all your valuable information into a single data lake, making it easier to analyze.
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    Effortless Data Migration
    Move your data effortlessly to ensure minimal disruption to your operations. Maintain data integrity and keep your business running smoothly with minimal interruptions.

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    About generative AI solutions

    What services do you offer for data engineering projects?
    We offer designing and implementing scalable data architectures, building efficient data pipelines for seamless data ingestion and processing, and providing expert consulting on data modeling, governance, and data engineering tool selection to align with business objectives. We also specialize in data integration solutions, uniting disparate systems and APIs, and performance optimization to ensure your data infrastructure is cost-effective and high-performing. DATAFOREST is among the seasoned data engineering service providers and manages services for ongoing maintenance and support of the data environment.
    How much do data engineering companies take to complete a project?
    The cost and duration of data engineering projects vary widely depending on the project's complexity, scope, the data engineering tools involved, and the business's specific requirements. Smaller projects focused on specific tasks like ETL pipeline development might take weeks and cost a few thousand dollars. In contrast, larger, more comprehensive projects involving data analytics engineering services or custom solution development can span several months and cost tens or hundreds of thousands of dollars. It's crucial to get detailed info when calling our data engineering consultant.
    Do you provide ongoing support and maintenance for data engineering solutions?
    DATAFOREST provides ongoing support and maintenance for data engineering solutions as part of managed engineering services. This includes monitoring the health and performance of data pipelines, cloud data warehouse engineering services, and data science engineering services, applying updates and patches, and ensuring the system remains scalable and adaptable to evolving business needs. These modern data architecture engineering services are crucial for maintaining the long-term value of data engineering investments.
    What is the cost structure for your data engineering services?
    It includes upfront project fees for designing and implementing engineering data management solutions, ongoing maintenance fees for support and updates, and potentially usage-based fees based on data volume or processing time. The specific cost structure will vary significantly depending on the complexity of the project and the level of customization required to solve clients' problems.
    Can you assist with cloud migration and data integration in data engineering?
    We are well-equipped with data engineering software to assist with cloud migration. We help businesses seamlessly move their data infrastructure and workloads to cloud platforms while ensuring minimal disruption and maximum efficiency. We also integrate disparate systems, applications, and data sources to establish a unified view of a company's information assets. The ETL migration engineering services ensure smooth data flow, accessibility, and usability for expert engineering solutions.
    How do you collaborate with other teams, such as data scientists and business analysts, in data engineering projects?
    DATAFOREST collaborates with data scientists and other outsource data engineers by providing reliable and accessible data pipelines. We also work closely with business analysts to understand their requirements, translate business goals into technical engineering data solutions, and ensure that the data engineering projects deliver actionable insights aligned with the company's objectives. This cross-functional collaboration ensures a holistic approach to data projects, bridging the gap between technical implementation and business value.
    What platforms use your data engineering experts?
    For data engineering consulting solutions, we utilize a variety of platforms depending on project requirements, including the cloud-based Azure data engineering platform, AWS, and GCP, which offer scalable and managed services for data processing and storage. We also leverage open-source platforms like Apache Hadoop and Apache Spark for distributed data processing and analysis. Additionally, for data engineering analytics and solutions, we use specialized tools like dbt (data build tool) for data transformation and Airflow for workflow orchestration to streamline and automate data pipelines.

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