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Data Engineering Services

Struggle to generate insights from massive amounts of data? Need a solid data strategy to empower your future initiatives? Our data engineering services can help you build a robust data infrastructure for real-time analytics and AI/ML innovations.

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Unlock the full potential of your data

Disruption affects everyone. Those who use data more efficiently will win the competition, while the rest lose revenues and market share. Secure your future today with our data engineering as a service.

Actionable insights at the click of a button

Derive actionable insights from your data. Our data engineering services empower data analysts and regular employees with clean, accessible data for informed decision-making.

Robust data infrastructure

Ensure that your data is well-organized, accessible, and scalable. We help organizations build and maintain robust data infrastructure, including data pipelines, ETL processes, and data warehouses.

Optimized data storage and processing costs

Optimize your data storage and processing costs with efficient storage and data processing pipelines. We drive significant cost-savings both for cloud and on-premises infrastructures.

Enhanced data security and compliance

Minimize the risk of data breaches, legal issues, and reputational damage. We implement robust data security measures and compliance frameworks that meet and exceed industry regulations.

High scalability and performance

Ensure your data infrastructure can adapt to changing requirements. Our high-performance data systems accommodate growth and maintain efficiency during increased demand.

Excellent data quality

Enhance the reliability of analytics, reduce costly errors, and foster trust in your data-driven insights. Ensure your data is accurate with our data cleaning, validation, and quality assurance

Enterprise-level data engineering services

Since 2009, we've provided cloud-based data engineering solutions and analytics. Our services match the needs of Healthcare, FinTech, Real Estate, Advertising, Education, and other industries.

Case studies

Over the past 14 years, we helped dozens of companies implement real-time analytics, data processing, and powerful reporting. Here are some of their stories.

  • Background for

    Aim Analytics (USA)

    DATA-DRIVEN SOLUTION FOR AD CAMPAIGN MANAGEMENT

    Converze Media Group is one of America’s leading direct-response media buying companies. MindK helped them develop a powerful campaign analytics tool. It models the number of website visitors at a particular time and compares the data with real-time statistics. The solution integrates data from Extreme Reach, Media Monitors, BVS, hotline calls, SMS, and Google Analytics to provide granular insights on campaign effectiveness. 

    • Google Analytics-like capabilities for measuring the ad effectiveness on streaming platforms.
    • Ability to quickly process massive amounts of data with AWS Kinesis, Athena, Glue, and Lambda.
    • Custom reports and data visualization dashboard with over 20 graphs.
    • Universal file parser that supports 50+ data formats.
  • Background for

    CEMAsys (Norway)

    ESG ANALYTICS FOR FORBES GLOBAL 2000 COMPANIES

    Our client is a leading provider of Environmental, Social, and Governance consulting. It hired MindK to build a scalable SaaS application for sustainability data reporting. The solution automates the collection of ESG data, calculates carbon footprint across the entire supply chain, and simplifies reporting. It features real-time analytics, visual dashboards, and integrations with external systems.

    • 800+ large and mid-sized enterprises adopted the system.
    • Unlimited scalability and high availability with a microservice architecture.
    • API gateway and integrations with third-party business systems.
    • Advanced Health, Safety, and Environmental reporting.
    • 1
    • 2

    Our tech stack

    Our engineers use a wide range of technologies tailored to the needs of individual organizations and projects.
    • Databricks Databricks
    • Power BI Power BI
    • Tableau Tableau
    • D3.js D3.js
    • Chart.js Chart.js
    • Highcharts Highcharts
    • Amazon Web Services Amazon Web Services
    • Microsoft Azure Microsoft Azure
    • Google Cloud Platform Google Cloud Platform
    • PostgreSQL PostgreSQL
    • MongoDB MongoDB
    • ArangoDB ArangoDB

    How it works

    Here's what you can expect from our services – from contacting our data engineering consultants to long-term data engineer support and maintenance.

    Discovery and assessment of client needs

    Sign an NDA and talk to a tech expert within 24 hours. We'll run an in-depth interview to understand your business goals, data infrastructure, challenges, and objectives. This step also includes an evaluation of your data sources, quality, scalability, and compliance requirements.
    01

    Customized solution design

    Based on the assessment, our team will design a bespoke solution that aligns with your goals. You'll receive defined data models, an appropriate tech stack, and a roadmap to implementation.
    02

    Implementation and integration

    Get a working solution. We build ETL pipelines, set up data warehouses, and integrate various data sources, and data processing frameworks. You'll gain a custom solution optimized for performance and scalability.
    03

    Ongoing support, monitoring, and optimization

    Our commitment doesn't end with implementation. We monitor your data infrastructure, proactively identify issues, and optimize its cost-effectiveness. If necessary, our engineers can provide training and transfer knowledge to your in-house teams.
    04

    Key deliverables

    Our clients attain predictable results and cost-efficient solutions with our data engineering services.

    Data architecture design

    Implementation roadmap

    ETL pipelines

    Data management system

    Scalable data infrastructure

    Data visualization and reporting

    Technical documentation

    Performance reports

    Support and maintenance plan

    14 years of industry expertise

    Our engineers have vast experience in several verticals. They come with a deep understanding of your industry regulations and business processes.

    Choose your service option

    When companies start experiencing software failures, they also often struggle with operational woes causing costly delays and bugs in production. Our QA automation and DevOps services are great solutions to operational pains.

    Why MindK

    We're a team of 80+ engineers who obsess about customer success.

    End-to-end solutions

    From data ingestion to data visualization and full-cycle software development, we have all the expertise you need to build amazing data-driven solutions.

    01

    Expertise beyond data

    Our expertise extends beyond data engineering. We're a team of professionals who understand the industry and can turn data into your biggest advantage.

    02

    96% customer satisfaction

    MindK became a long-term partner for most of our clients. With an average engagement lasting 5 years, we continue to grow and overcome challenges together.

    03

    Data security & compliance

    We minimize the risk of data breaches and help you comply with HIPAA, GDPR, CCPA, PCI DSS, and other regulations.

    04

    What
    our
    clients
    say

    • Philip Yancey

      Philip Yancey

      Partner at Converze Media,
      USA

      Philip Yancey

      A reliable partner

      «I appreciate how MindK was able to build such a platform from conference calls, emails and basically a wish list of what our company wanted and needed automated to make Converze a more efficient and effective player in our space.»

    • Per Otto Larsen

      Per Otto Larsen

      Head of CSR Services, CEMAsys.com
      Norway

      Per Otto Larsen

      High level of detail
      and thoughtfulness

      «The level of detail and thoughtfulness of what they deliver is so good, that a simple explanation of the next idea serves as the basis for them to take it and turn into reality. MindK’s support allows us to focus on core business, product growth and our customers’ needs.»

    • Alexander Radchenko

      CEO, Radenia AG,
      Switzerland

      Transparency and focus
      on business value

      «I've been working with multiple IT services providers for more than two decades and what sets MindK team apart is transparency, focus on business value and quality of the services provided.»

      Scale efficiently with complimentary services

      We provide full-cycle software development services for enterprises and startups. At MindK, you can hire an expert team of software engineers, testers, and product managers to build and improve great solutions.

      Get started with our data engineering services

      Share your data challenges with our experts. We'll sign an NDA
      and organize an intro consultation within 24 hours.

      Our approach

      LMS reporting and analytics

      LMS Reporting and Analytics: a 5-Step Approach to Data-Driven eLearning Software

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      Big Data in Advertising: How AdTech Is Changing

      Big Data in Advertising: How AdTech Is Changing

      Read more
      key to digital transformation

      Data in Digital Transformation: 3 Key Steps to Business Value

      Read more

        FAQ

        • What is data engineering, and why is it important?

          Data engineering involves designing and constructing data pipelines, databases, and infrastructure. It ensures data is collected, stored, and processed efficiently. Businesses can then harness the power of data for better decision-making, insights, and innovation.

        • What industries do you specialize in?

          We specialize in Healthcare, Finances and Banking, Education, Recruiting, Sustainability, Advertising, and Real Estate.

        • What types of data engineering solutions do you provide?

          Our data solutions include data integration, ETL processes, data warehousing, cloud data warehouse engineering, and enterprise data lake engineering services.

        • Do you offer cloud-based data solutions?

          Yes, we provide cloud-based data solutions using AWS, Azure, and Google Cloud platforms. We can help you migrate to the cloud, optimize cloud costs, improve scalability and performance.

        • How do you handle data security and compliance?

          We implement robust data security measures to protect your data, including encryption and access controls. MindK helps companies comply with industry and data privacy regulations like GDPR, HIPAA, PCI DSS and other FinTech regulations.

        • What is your typical project timeline and pricing structure?

          Project timelines vary depending on complexity and scope. We work closely with clients to define project timelines and milestones, ensuring that we meet your objectives within reasonable timeframes. Depending on your budget and requirements, our data engineering agency offers both fixed-price and time-and-material contracts.

        • Do you provide ongoing support and maintenance?

          Yes. We provide a variety of data engineer support packages to cover the needs of different companies.

          Let's solve your engineering
          challenges

          Send us a request with a brief description of your problems and any requirements
          about your project's timeframes and the scope of work.

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