Data engineering services

Data engineering services

Gain strategic guidance from an expert data engineering team to modernize
legacy data processing technology stack and get a 360-degree view of your enterprise
by centralizing disparate data sources into a single location. Establish a data-driven decision-making culture for constant business insights and generate customized reports.

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Data engineering services Yalantis provides

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Data engineering consulting services

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Data architecture services

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Data modeling services

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Database development services

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Data storage services

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Data pipeline services

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ETL/ELT services

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Data integration services

Data engineering consulting services

  • Data quality assessment
  • Data infrastructure refinement
  • Exploration of datasets to learn relationships among them
  • Data strategy development
  • Evaluation of data governance and security procedures
Data engineering consulting services

Data architecture services

  • Elicitation of functional and non-functional requirements
  • Data structure development based on business needs
  • Selection of an optimal architectural framework
  • Data architecture optimization to meet changing business goals
Data architecture services

Data modeling services

  • Logical and physical data model design
  • Data warehouse modeling
  • Multi-dimensional/OLAP modeling
  • Document/NoSQL data modeling
  • Model optimization and refinement
  • Model documentation and metadata management
Data modeling services

Database development services

  • Database design and modeling
  • Database monitoring, optimization, and maintenance
  • Data migration between databases
  • On-premises or cloud database deployment
  • Data backup and recovery procedures
Database development services

Data storage services

  • Data warehousing
  • Enterprise data warehouse development
  • Data lake design, implementation, and management
  • Data mart creation and management
Data storage services

Data pipeline services

  • Development of a customized, optimized, and resilient data pipeline
  • Scheduling and orchestration of pipeline jobs
  • Real-time data streaming pipelines
  • CI/CD for data pipelines
  • Pipeline monitoring and troubleshooting
  • Pipeline integration with BI tools
  • Pipeline scaling for big data
Data pipeline services

ETL/ELT services

  • Custom ETL workflow development
  • Research of sources to extract data from
  • Data cleaning, validation, and enrichment
  • Data loading into target databases
  • Scheduling and orchestration of ETL jobs
  • ETL performance optimization
ETL/ELT services

Data integration services

  • Development of a customized data pipeline for internal and external data sources
  • API integration
  • Cloud data integration
  • On-premises to cloud data migration and vice versa
  • Legacy system integration
  • Real-time data streaming integration
Data integration services
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Data engineering consulting services

Data engineering consulting services

  • Data quality assessment
  • Data infrastructure refinement
  • Exploration of datasets to learn relationships among them
  • Data strategy development
  • Evaluation of data governance and security procedures
Data engineering consulting services
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Data architecture services

Data architecture services

  • Elicitation of functional and non-functional requirements
  • Data structure development based on business needs
  • Selection of an optimal architectural framework
  • Data architecture optimization to meet changing business goals
Data architecture services
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Data modeling services

Data modeling services

  • Logical and physical data model design
  • Data warehouse modeling
  • Multi-dimensional/OLAP modeling
  • Document/NoSQL data modeling
  • Model optimization and refinement
  • Model documentation and metadata management
Data modeling services
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Database development services

Database development services

  • Database design and modeling
  • Database monitoring, optimization, and maintenance
  • Data migration between databases
  • On-premises or cloud database deployment
  • Data backup and recovery procedures
Database development services
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Data storage services

Data storage services

  • Data warehousing
  • Enterprise data warehouse development
  • Data lake design, implementation, and management
  • Data mart creation and management
Data storage services
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Data pipeline services

Data pipeline services

  • Development of a customized, optimized, and resilient data pipeline
  • Scheduling and orchestration of pipeline jobs
  • Real-time data streaming pipelines
  • CI/CD for data pipelines
  • Pipeline monitoring and troubleshooting
  • Pipeline integration with BI tools
  • Pipeline scaling for big data
Data pipeline services
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ETL/ELT services

ETL/ELT services

  • Custom ETL workflow development
  • Research of sources to extract data from
  • Data cleaning, validation, and enrichment
  • Data loading into target databases
  • Scheduling and orchestration of ETL jobs
  • ETL performance optimization
ETL/ELT services
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Data integration services

Data integration services

  • Development of a customized data pipeline for internal and external data sources
  • API integration
  • Cloud data integration
  • On-premises to cloud data migration and vice versa
  • Legacy system integration
  • Real-time data streaming integration
Data integration services
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    Data engineering consulting services

    Data engineering consulting services

    • Data quality assessment
    • Data infrastructure refinement
    • Exploration of datasets to learn relationships among them
    • Data strategy development
    • Evaluation of data governance and security procedures
    Data engineering consulting services
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    Data architecture services

    Data architecture services

    • Elicitation of functional and non-functional requirements
    • Data structure development based on business needs
    • Selection of an optimal architectural framework
    • Data architecture optimization to meet changing business goals
    Data architecture services
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    Data modeling services

    Data modeling services

    • Logical and physical data model design
    • Data warehouse modeling
    • Multi-dimensional/OLAP modeling
    • Document/NoSQL data modeling
    • Model optimization and refinement
    • Model documentation and metadata management
    Data modeling services
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    Database development services

    Database development services

    • Database design and modeling
    • Database monitoring, optimization, and maintenance
    • Data migration between databases
    • On-premises or cloud database deployment
    • Data backup and recovery procedures
    Database development services
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    Data storage services

    Data storage services

    • Data warehousing
    • Enterprise data warehouse development
    • Data lake design, implementation, and management
    • Data mart creation and management
    Data storage services
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    Data pipeline services

    Data pipeline services

    • Development of a customized, optimized, and resilient data pipeline
    • Scheduling and orchestration of pipeline jobs
    • Real-time data streaming pipelines
    • CI/CD for data pipelines
    • Pipeline monitoring and troubleshooting
    • Pipeline integration with BI tools
    • Pipeline scaling for big data
    Data pipeline services
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    ETL/ELT services

    ETL/ELT services

    • Custom ETL workflow development
    • Research of sources to extract data from
    • Data cleaning, validation, and enrichment
    • Data loading into target databases
    • Scheduling and orchestration of ETL jobs
    • ETL performance optimization
    ETL/ELT services
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    Data integration services

    Data integration services

    • Development of a customized data pipeline for internal and external data sources
    • API integration
    • Cloud data integration
    • On-premises to cloud data migration and vice versa
    • Legacy system integration
    • Real-time data streaming integration
    Data integration services
  • ISO 27701 2019 certification
  • ISO 9001 2015 certification
  • ISO 27001 2013 certification
  • AWS partner logo
  • AWS partner logo

Technologies we work with

  • Power BI logo

    PowerBI+

  • Tableau logo

    Tableau

  • MySQL logo

    MySQL

  • PostgreSQL

    PostgreSQL

  • Microsoft SQL server

    Microsoft SQL Server

  • Hadoop HDFS logo

    Hadoop (HDFS)

  • Apache Spark logo

    Apache Spark

  • Cassandra logo

    Apache Cassandra

  • Kafka logo

    Apache Kafka

  • MongoDB

    MongoDB

  • HBase logo

    Apache HBase

  • Hive logo

    Apache Hive

  • Amazon Redshift logo

    Amazon Redshift

  • Snowflake logo

    Snowflake

  • Python logo

    Python

  • Java logo

    Java

Industry-specific use cases Yalantis specializes in

Our clients’ reviews

Yalantis’ work saved us about $3.5 million by eliminating a package software we previously used for trade promotion. The team was technically competent and easy to work with. Yalantis communicated well via Zoom meetings and delivered regular status reports via email.

Russ Aebig photo
Russ Aebig CIO, Golden West Food Group

Thanks to Yalantis’ efforts, we have seen improved delivery speed and bug fixes. The team manages the project transparently, demonstrates availability, and quickly pivots if a replacement is needed. Overall, Yalantis’ ability to learn and deliver quickly is a hallmark of their performance.

Lucas Smith photo
Lucas Smith Software Development Engineer, Blueocean

Yalantis has been a great partner for us. They’ve delivered the alpha version of the product in 10 weeks, while other vendors estimated 3–4 months. The team has also been flexible with changing requirements. The team has provided excellent documentation and adapted to our tools.

Mariella Berrocal photo
Mariella Berrocal Director of Digital Products, Sera Prognostics

We are very happy and satisfied with Yalantis’ work and the product they’ve created, as well as with their willingness to address our concerns and change requests. The team has excelled at budget management, and they leverage Zoom, Slack, Jira, and Confluence to collaborate.

Cody Cuthill photo
Cody Cuthill COO & CTO, ELITE Athlete Services

Challenges you can overcome with Yalantis data engineering services

  • Benefits icon

    Maximizing data value

    Assess your existing data infrastructure with Yalantis data engineering service providers and design an effective agile strategy to reveal cost and efficiency opportunities.

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    Improving data-driven decision-making

    Get precise business insights and enable holistic decision-making by consolidating all your data into a single, reliable source. Yalantis’ strong ETL processes guarantee data validity, consistency, and completeness across all data platforms.

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    Modernizing outdated systems and processes

    Improve data processing, even on legacy systems, and effortlessly manage growing raw data volumes. Get adaptable modern data engineering solutions to meet your current and evolving business needs.

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    Automating time-consuming and error-prone reporting

    Benefit from automated data management processes for quick, relevant, and valid reports. Hire data management engineers at Yalantis to connect disjointed systems and streamline your data flow.

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    Eliminating rigid processes to allow room for innovation

    Drive innovation with a robust data engineering strategy that refines data ingestion and processing while paving the way to explore and extract deeper insights through data science and AI/MLOps expertise.

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    Ensuring compliance with industry requirements

    Implement ISO-, SOC2-, and GDPR-compliant solutions with Yalantis and get a secure data environment that stores relevant, high-quality data with a role-based access policy.

FAQ

How can Yalantis’ data engineering services improve business operations and reduce costs?

A well-designed strategy provided within data engineering services and solutions fuels data-driven decision-making, allowing your business to run smarter and more efficiently by:

  • bringing all your data into one place, cleaning it up, and connecting it. This allows organizations to quickly shift priorities and resources based on emerging data insights.
  • automating data flows into unified systems for access to reliable, real-time information. This allows everyone to make faster, better decisions together.
  • laying a robust data foundation for AI applications to automatically do things like predict trends, stop fraud, and prevent equipment failures. This way you can minimize manual work and improve data accuracy. Data engineers can then optimize workflows by automating repetitive tasks, minimizing errors, and eliminating waste.

Our DataOps and data engineering company leverages cloud computing platforms such as Amazon Web Services, Google Cloud, and Microsoft Azure to ensure a scalable and pay-as-you-go data storage environment that allows for quick system deployment and simplifies secure data maintenance. We also implement CI/CD pipelines for automated testing and deployment of data engineering code and configurations to speed up the data engineering process while ensuring it is sufficiently secure.

What departments and roles in my company would benefit the most from outsourcing data engineering?

Nearly every department can reap the benefits of cooperating with a data engineering services company. For instance, here’s how various departments thrive with a robust data engineering foundation:

  • Operations departments, such as supply chain, manufacturing, and distribution, can optimize production, predict failures, and track assets in real time.
  • Sales and marketing teams can precisely target prospects, personalize experiences, and analyze campaign performance.
  • Finance and accounting can automate reporting, quickly spot accounting errors, and accurately forecast revenue.
  • Human resources can improve hiring and retention, identify training gaps, and enhance compensation planning.
  • IT can secure infrastructure, monitor workloads, and automate issue resolution.
  • Legal can ensure efficient management of contracts and compliance to mitigate risk.
  • R&D can accelerate product development cycles and enhance quality assurance.
  • Customer support teams can provide personalized, proactive service and identify self-service opportunities.

What cooperation models does Yalantis offer?

As a trusted data engineering partner, our firm offers flexible cooperation models to suit your needs: dedicated development teams, team augmentation, and IT consulting services.

 

You can actively participate in the hiring and onboarding of Yalantis experts to compose a team that aligns with your business mindset. Moreover, you have the flexibility to scale your data team up or down based on project needs.

How do you ensure data quality and accuracy with your data engineering processes?

With this comprehensive suite of techniques, we ensure the accuracy and integrity of the data we engineer by:

  1. profiling data to understand its structure, distribution, and potential issues
  2. implementing validation rules, data cleansing, and data monitoring to address any problems before they accumulate downstream
  3. transforming data into the desired structure with robust ETL processes while catching anomalies
  4. performing testing and handling edge cases to identify bad data before it enters pipelines
  5. implementing proper data governance protocols, audits, documentation, and client training for ongoing quality maintenance

We make sure to conduct regular data quality checks and implement end-to-end data validation to ensure data accuracy and reliability, as it’s important that your data infrastructure works with the right data and allows for extracting meaningful insights during the data analysis process. Our data quality frameworks may involve data profiling, data cleansing, and monitoring data pipelines for anomalies.

What level of support do you provide after implementing data engineering practices?

With years of experience in data engineering and platform services and a vast team of skilled engineers, data scientists, and consultants, Yalantis can become your guide on the way to a better data management future. Our data engineering agency can set up a reliable data infrastructure that helps you:

  • increase your operational efficiency
  • make sense of large data sets
  • store only the data you need
  • make sure your data is of high quality

Yalantis is a data engineering service provider whose commitment extends beyond the implementation phase. We provide end-to-end development, seamlessly deploying your solution into your operations. Additionally, we can conduct workshops for your employees to ensure they can effectively use your new data infrastructure.

 

Our ongoing support includes addressing any issues, providing updates, and performing continuous optimization to ensure your data engineering solution evolves with your business needs.

How do you build a data pipeline architecture?

Designing and implementing secure and reliable data pipelines is a fundamental aspect of Yalantis’ data engineering services. Our data engineers typically use technologies such as Apache Kafka, Apache Spark, and Apache Flink, or cloud-based services like AWS Glue or Google Dataflow to build data pipelines that ingest, transform, and load data from multiple sources to data warehouses or data lakes. We also can shift your data infrastructure into the cloud or on-premises, or set up a hybrid environment that secures your most sensitive data while allowing for scalable storage of large amounts of data.

How can Yalantis help us build a scalable, cost-efficient, and collaborative data ecosystem?

Here are a few comprehensive data engineering services we provide:

  • breaking down data silos for cross-team collaboration. You can foster seamless data access and collaboration across departments by unifying disparate data sources. Yalantis builds centralized data ecosystems that improve transparency, eliminate duplication, and support a more agile business strategy.
  • optimizing cloud data infrastructure for cost efficiency. To reduce unnecessary cloud spending and enhance system performance, we can devise a well-structured data architecture. With expertise in data integration and data engineering services, Yalantis helps fine-tune your cloud storage, compute resources, and data workflows to align with your business goals while keeping your investment under control.
  • enhancing real-time data processing and analytics. We help you achieve quick decision-making by optimizing your data pipeline for real-time processing. Yalantis ensures the seamless integration of streaming data sources, reducing latency and delivering up-to-the-minute insights for dynamic business needs.

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    Lisa Panchenko

    Senior Engagement Manager

    Your steps with Yalantis

    • Schedule a call

    • We collect your requirements

    • We offer a solution

    • We succeed together!