• Data science services

  • Big data

  • Staff Augmentation

Data Engineering & Big Data solutions

Gather business insights and stay competitive with our data science services. Work with the best tech talents, onboarded within 2-3 weeks. We focus on building robust, scalable data infrastructures that drive informed decision-making and enhance operational efficiency.

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Trusted to many companies

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Data engineering and big data services

Our expertise covers the full spectrum of data services, from pipeline development to real-time analytics, ensuring your data is always ready to work for you
  • 01

    Data pipeline development

    Design and implement scalable data pipelines that ensure seamless data flow across your organization. Our solutions are built to handle diverse data sources and formats, ensuring reliable data delivery to your analytics platform.
  • 02

    Data warehousing

    Develop and optimize data warehouses to centralize your structured and unstructured data. Our data warehousing solutions provide a single source of truth, enabling efficient data retrieval and analysis for better business insights.
  • 03

    Big data processing

    Leverage the power of Big Data with distributed computing frameworks such as Spark, Apache Hadoop, Google BigQuery, and Azure Synapse Analytics. Our solutions enable the efficient processing of large data sets, supporting comprehensive data analysis and complex data-driven applications.
  • 04

    Data integration and ETL services

    Integrate data from various systems and formats into a cohesive data environment. Our ETL (Extract, Transform, Load) services ensure data consistency and reliability, enhancing your data's accessibility and usability across platforms.
  • 05

    Data quality management

    Ensure the accuracy, consistency, and reliability of your data with our comprehensive data quality management services. We implement stringent data governance frameworks and quality checks to maintain high data standards.
  • 06

    Real-time data analytics

    Develop systems for real-time data processing and analytics to provide immediate insights and support rapid, data-driven decision-making. Our real-time analytics solutions ensure your data is always current, accurate, and actionable.

3 reasons to hire UKAD

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    Comprehensive expertise across domains

    Our team combines deep technical expertise with a strong understanding of industry-specific challenges, enabling us to deliver tailored solutions that drive real business outcomes. We bring together skills from data engineering, analytics, and Big Data management to provide end-to-end support for your projects

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    Innovative, future-proof solutions

    At UKAD, we stay ahead of the curve by adopting the latest technologies and best practices in data management. Our solutions are designed to be scalable and adaptable, ensuring they remain effective as your business grows and evolves. We focus on building systems that not only meet current needs but also anticipate future demands

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    Flexible engagement models

    We offer flexible engagement models to suit your unique business needs, including staff augmentation and full project-based implementations. Whether you need to augment your existing team with specialized skills or require a dedicated team for a comprehensive project, we adapt to your requirements seamlessly

Advanced technology ecosystem for Data Analytics projects

We leverage a diverse and robust technology stack to deliver comprehensive Data Engineering and Big Data solutions. Our ecosystem includes a range of programming languages, frameworks, tools, and cloud services, with a particular focus on Microsoft technologies to ensure seamless integration and high performance
  • Programming languages

    Versatile languages for building and optimizing data engineering and big data solutions

    • Python
    • SQL
    • C#
  • Big data frameworks

    Advanced frameworks for handling and analyzing large volumes of data efficiently

    • Apache Spark
    • Apache Hadoop
    • Kafka
    • Azure Databricks
  • Data warehousing

    Robust platforms for centralized data storage and management, enabling comprehensive analysis and reporting

    • Snowflake
    • Amazon Redshift
    • Google BigQuery
    • Azure Synapse Analytics
  • ETL tools

    Specialized tools for extracting, transforming, and loading data, ensuring seamless data integration and processing

    • Apache NiFi
    • Talend
    • AWS Glue
    • Azure Data Factory
  • Analytics and BI

    Technologies designed to perform high-scale analytics and uncover insights from large datasets

    • Power BI
    • Qlik Sense
    • Tableau
  • Cloud platforms

    Scalable and reliable environments for deploying and managing data engineering solutions

    • Microsoft Azure
    • AWS
    • Google Cloud Platform

Tailored solutions for Big Data project

  • Big Data developers staffing
  • Cloud data modernization
  • Business Intelligence (BI)
  • Seamlessly integrate experienced Big Data engineers into your team. We carefully match specialists to your project requirements, managing their onboarding precisely to ensure a smooth transition into your existing workflows and immediate contribution to your goals.

    Only three steps are taken to initiate a staff augmentation project:

    Staff Augmentation illustration
    • Join exploration call | UKAD
      Step 1

      Join exploration call

      Tell us about your development team and discuss the required expertise, your goals, and targets to let us find the best experts for you

    • Users Icon
      Step 2

      Design the team structure

      Select the most suitable engineers from UKAD's talent pool, conduct technical interviews, validate culture fit, and finalize the agreements

    • Kickstart the delivery! | UKAD
      Step 3

      Kickstart the Delivery!

      Set tasks and evaluate results, when we are helping with onboarding, establishing communication inside the team, tracking progress, and continuously monitoring the delivery

    Schedule a call
  • Modernize your data infrastructure by migrating to the cloud, enhancing scalability, and reducing costs while maintaining high data security standards.

    Cloud Solutions
    • Join exploration call | UKAD
      Step 1

      Join a discovery call

      Tell us more about your business on a discovery call. We’ll discuss your vision, timescale, and required expertise

    • Users Icon
      Step 2

      Set up the team you need!

      Select the most suitable developers from UKAD's talent pool, conduct technical interviews, validate culture fit, and finalize the agreements

    • Kickstart the delivery! | UKAD
      Step 3

      Get started!

      We help you with onboarding and integration with your business processes when you’re setting the first tasks for your dedicated team

    Schedule a call
  • Unlock the full potential of your data with our expertise in Power BI and Qlik Sense. Our team specializes in creating interactive, real-time dashboards and comprehensive reports that drive informed decision-making. From data modeling to advanced analytics, we ensure your BI tools provide the clarity and performance your business requires.

    Business Intelligence Tab
    • Join exploration call | UKAD
      Step 1

      Join a discovery call

      Tell us more about your business on a discovery call. We’ll discuss team structure, success criteria, timescale, and required expertise

    • Map + bg
      Step 2

      Create the roadmap

      Build a team from UKAD's talent pool, meet your dedicated Project Manager, validate culture fit, and finalize the agreements

    • Kickstart the delivery! | UKAD
      Step 3

      Start the journey!

      We build and onboard your development team. Get ready for the first demo meeting!

    Schedule a call

Additional services you may need

Kickstart your project with a 14-day Risk-Free Trial

Book a call
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Data engineering best practices

  • 01
    Trend Up

    Adopt a data-driven culture

    Promote the utilization of data-driven decision-making at every organizational level to optimize the ROI of your data investments

  • 02
    Shield

    Implement robust data governance

    Establish clear, effective data governance practices. By defining standards for data quality, security, and regulatory compliance, you build a strong foundation for managing your entire data ecosystem

  • 03
    Maximize

    Leverage scalable data architectures

    For reliable data engineering and effective Big Data management, scalability is essential for your business's growth. You can scale individual components independently by implementing modular architectures, ensuring flexibility and efficiency

  • 04
    Star

    Ensure data quality at every stage

    Keep your data accurate and reliable by implementing rigorous validation and cleansing processes. Automate quality checks to detect and correct errors in real time, ensuring your data is always ready to support informed decision-making

  • 05
    Loader

    Utilize real-time data processing

    Implement real-time data processing to make quick and accurate decisions. By integrating advanced frameworks and tools, you can handle vast data sizes seamlessly, optimizing both your workflows and analytical capabilities for maximum performance

  • 06
    Book

    Invest in continuous learning and adaptation

    Data strategies and tools evolve rapidly. Stay ahead by regularly updating both your processes and technologies to adapt to shifting business needs and emerging innovations

  • 07
    Refresh

    Automate repetitive data tasks

    Automation minimizes manual intervention, reduces errors, and enhances efficiency. Automating repetitive tasks allows your team to focus on more strategic, high-value activities

  • 08
    Key

    Focus on data security and privacy

    Prioritize data security and compliance by implementing advanced encryption, conducting regular security audits, and adhering to industry standards to ensure your data is protected and fully compliant with regulations

  • 09
    Target

    Build a unified data platform

    ​​A centralized data platform provides a single source of truth for all departments. This unified approach improves collaboration, ensures data consistency, and leads to more strategic decisions across the organization

  • 10
    Database

    Monitor and optimize data pipelines regularly

    Design your data pipelines to maximize efficiency. Focus on minimizing latency, reducing bottlenecks, and implementing parallel processing to ensure data flows swiftly through your system, reaching its destination with minimal delay for enhanced overall performance.

FAQ

  • What types of developers do you provide for Big Data projects?

    The UKAD Big Data projects involve a team of skilled professionals, including data engineers, data analysts, Big Data architects, and DevOps engineers. They bring diverse expertise in efficient data processing, storage, and analysis, utilizing cloud solutions like AWS and Azure and advanced technologies such as Apache Spark and Hadoop. By integrating these experts into your teams, you gain certified professionals capable of building scalable data infrastructures.

  • Can your developers work in different time zones?

    At UKAD, we proactively address this challenge by organizing our workflow to accommodate overlapping meeting hours, ensuring seamless interaction between your team and our developers. Our dedicated engineers are adept at adapting to various time zones, whether you require close coordination during specific hours or a team that seamlessly integrates into your global operations. Through clear communication and carefully coordinated work schedules, we minimize the impact of time zone differences, maintaining an uninterrupted and efficient workflow. 

  • How do you ensure data security and confidentiality with remote developers?

    We have stringent data security protocols and NDAs in place. Our developers are trained to follow best practices in data handling and confidentiality, ensuring that your sensitive data is always protected.

  • What is a data pipeline?

    A data pipeline is a sequence of processes that move data from its source to its destination, typically involving extraction, transformation, and loading. By streamlining this process, a data pipeline enhances data integrity and accessibility, enabling reliable and timely insights across various systems.

  • How can real-time data analytics benefit my business?

    Real-time data analytics offers substantial benefits by providing immediate insights into your business operations. This instant access to current data enhances operational efficiency, allowing you to respond promptly to emerging trends and opportunities. With real-time analytics, you can continuously monitor performance, identify issues before escalating, and optimize processes to improve productivity.

  • How can Big Data analytics improve my business outcomes?

    Big Data analytics helps businesses by giving them deep insights into customer behavior, operational efficiency, and market trends. Companies can use Big Data analytics to find hidden patterns and trends in large amounts of data, which can lead to a more personalized customer experience. Big Data analytics also helps companies make informed decisions, improve strategies, and adapt quickly to changes.

  • What industries benefit from Big Data solutions?

    Big Data solutions significantly impact several industries, including fintech, healthcare, retail, and logistics. In fintech and healthcare, advanced analytics enhance risk assessment and patient care. Retailers utilize data to improve marketing and customer experiences, while real-time data is valuable for supply chain management in logistics. Every industry utilizes Big Data to make well-informed decisions, improve operational efficiency, and facilitate long-term growth.

  • What is the role of ETL in data integration?

    ETL (Extract, Transform, Load) plays a crucial role in consolidating data from various sources into a unified system for analysis. This approach ensures that data is meticulously prepared and refined, facilitating smooth and dependable workflows. By focusing on efficient ETL practices, you gain control over your data management, enhancing the quality and reliability of the data integrated into your systems. 

  • What are the benefits of a data warehouse?

    A data warehouse centralizes your data, making it easier to retrieve and analyze. Integrating data from various sources into a unified system enhances data quality and consistency. Its scalable architecture, especially in cloud environments, adapts to growing data volumes, while its seamless integration with analytics and business intelligence tools facilitates sophisticated analysis and deeper insights. Additionally, it provides robust data security and simplifies integration, offering a reliable platform for effective data management and strategic planning.

  • Do you offer maintenance and support services?

    Yes, we provide comprehensive maintenance and support services to ensure your data systems' ongoing reliability, performance, and security. Our expert team offers continuous support to maintain and enhance your solutions, ensuring they remain efficient and secure throughout their lifecycle, even after the initial release.