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Data Engineering Services that Power Scalable AI-Ready Enterprises

SPD Technology builds secure, compliant, and high-performance data infrastructures that transform raw data into business intelligence and innovation.

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  1. SPD Technology
  2. Data Engineering Services that Power Scalable AI-Ready Enterprises

What Modern Enterprises Need for Data-Enabled Growth

Being a backbone of agility, innovation, and competitiveness, data is no longer a byproduct of business operations. Still, gathering data alone doesn’t mean getting instant value from it. The real challenge is transforming raw data into actionable insights, reliable systems, and measurable business impact. Below are the core data requirements every modern organization must address to stay ahead:

  • Unified, real-time data pipelines that connect enterprise systems.
  • Trusted, governed data platforms ready for compliance and audits.
  • AI- and analytics-ready architectures to accelerate innovation.
  • Cloud-native and scalable infrastructure for massive growth.
  • Automated data workflows and data operations for efficient, scalable solutions.

Without these capabilities, companies risk losing efficiency, scalability, and their competitive edge. That’s where our data engineering services make the difference, as they are aimed at delivering infrastructures that will scale.

A robust data ecosystem and strong data engineering expertise are essential to ensure high-quality data that supports business growth and strategic decision-making. Our data engineering services focus on automating data workflows to reduce manual efforts and enhance data quality and reliability through systematic assessments.

Build Data Foundation

End-to-End Data Engineering Services
for Leading Enterprises

Our end-to-end data engineering service covers the entire data lifecycle, helping businesses to make the most of their existing data and find new ways to turn information into an advantage.

Explore Tailored Data Services
  1. :

    Data Strategy Consulting

    We help organizations build clear and actionable data strategies that align with their business goals. As part of data strategy consulting, we establish robust data governance frameworks to ensure compliance with industry regulations such as GDPR, HIPAA, and SOC 2. Our engineers identify opportunities, prioritize initiatives, and design roadmaps that ensure peak ROI, with a strong emphasis on data preparation as a foundational step in the data strategy process.

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    Data Warehousing Services

    A data warehouse is a foundational component of the data platform ecosystem, enabling organizations to manage and analyze large-scale data environments efficiently. Our team designs and implements modern data warehouses that provide fast, secure, and scalable access to business-critical information. With data warehousing, we enable the integration of structured data from various sources into a single repository, ensuring data accuracy and supporting diverse data formats to optimize analytics and reporting.

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    Data Lake Development

    We create powerful data lakes that allow organizations to manage, store, and analyze massive amounts of structured and unstructured data, enabling advanced analytics and AI use cases such as NLP and image recognition with computer vision. Our data lakes are designed to efficiently handle historical data from diverse sources, making it easier to extract, transform, and integrate legacy datasets. They also support customer data platforms, enhancing data architecture for improved reporting and traceability. Additionally, data lakes provide a cost-effective solution for storing and processing large volumes of data.

  4. :

    Data Quality & Governance

    Data quality and governance are integral to every data analytics service we deliver. We utilize robust data governance frameworks to ensure compliance with industry regulations and support the integration of disparate data systems, enabling seamless data exchange and comprehensive analysis. Our approach emphasizes data accuracy through comprehensive protocols for data validation, access management, and compliance, ensuring reliable and validated data for informed business decisions. Regular data quality assessments prevent errors and improve governance, allowing our clients to operate with confidence.

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    ETL/ELT Solutions Engineering

    Our company’s engineers develop efficient ETL/ELT pipelines that boost the data extraction, transformation, and loading across sophisticated ecosystems, laying a strong foundation for intelligent automation with peak cost-effectiveness. We design and implement data processing jobs that transform and load data from various data formats, ensuring compatibility and flexibility across platforms. Data preparation is a critical step in our ETL/ELT workflows, enabling clean, structured data for analytics and reporting. By automating data ingestion from diverse sources, we enhance data quality and reliability, while our efficient data pipelines improve the speed and accuracy of insights.

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    Data Platform Development

    We deliver enterprise-grade data platforms tailored to the specific needs of our clients. By providing data platform development, we build and optimize robust data systems and a resilient data ecosystem across leading cloud platforms such as AWS, Microsoft Azure, and Google Cloud. Our expertise includes integrating data from diverse sources—cloud, on-premises, and third-party systems—to ensure comprehensive insights and seamless data flow. Cloud-native storage optimization as part of our data engineering services can reduce infrastructure costs by 40–60%.

Latest Tech Expertise Behind Our Big Data Engineering Services

As one of the top Big Data engineering companies, we modernize legacy systems, adopt cloud-native architectures, and build real-time data ecosystems that turn information into an enterprise growth engine.

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Value-Based Outcomes We Delivered to Our Global Clients

Our data engineering consultancy and development services are backed up by hundreds of successful projects for businesses of all sizes.

Explore Our Portfolio
  1. → 100%

    Overhaul of data infrastructure.

    AI and Data Engineering for Transportation Construction
  2. → 2000+

    Enterprise clients use our AI/ML data analytics solution.

    AI Tool to Automate Social Media Metrics
  3. → >1 minute latency

    Quick and accurate insights for real-time decision-making.

    Cutting-Edge AI for Predictive Maintenance
  4. → 10x

    Data storage cost reduction and data processing optimization.

    Equipping Asset Management Company with AI-Enabled Web Crawler
  5. → 5x

    Cost efficiency boost.

    AI for Transforming PDF Data Extraction

Success Stories with Global Impact

SPD Technology designs and develops transformative software solutions that drive innovation, new revenue streams, and market leadership.

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Legacy Modernization UI/UX Design Web App Development

Automated Billing & Data Management for Pie Insurance’s Growth

  • briefcase Industry: Insurance
  • globe-earth Country: the USA
  • users-group Team Size: 14
  • Feature-Rich Billing Platform: We delivered a solution that allows managing billing plans, tracking premiums, payments, and equity, controlling policy cancellations, handling commissions, and more.
  • Reduced Operational Time Thanks to Data Engineering: We built an Operational Data Maintenance application that retrieves data from multiple disparate sources like spreadsheets or CSV files and updates them constantly, eliminating manual efforts.
  • Average Check Grew by 30%: Attracted more users to Pie Insurance services as a result of introducing additional payment alternatives.
View Case Study
Custom Software Development UI/UX Design

How We Helped Phoenix Security Scale Fast and Reliably

  • briefcase Industry: Administrative Services
  • globe-earth Country: UK
  • users-group Team Size: 7
  • Game-Changing Security Solution from Scratch: joined the Phoenix Security project at the very start as the main software development provider, and worked in close contact with the client’s CEO and CTO throughout the entire project’s duration from initial idea to release and beyond.
  • Diverse Tech Expertise at Scale: assembled a versatile dedicated team covering all tech aspects for the client including custom software development, UI/UX design, and integration of multiple 3rd-party solutions.
  • Proven Market Success: already trusted by 380 international companies, Phoenix Security is offering 12x faster risk reduction processes and 7x lower prices for services compared to competitors.
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Artificial Intelligence/Machine Learning Automation Data Analytics & Engineering Web App Development

AI/ML Development for the Global Investment Data Analysis Platform 

  • briefcase Industry: Business Research & Data Analytics
  • globe-earth Country: the USA
  • users-group Team Size: 3
  • Ongoing Collaboration with the Top Global Provider of Financial Data: Previously, we have migrated the company’s platform to cloud, engineered a microservice architecture for it and developed a dedicated mobile app. 
  • Leveraging AI for Advanced Data Insights: introduced AI-powered features for growing markets spotting and market trends detection, leading to a significant improvement in company’s customers satisfaction. 
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Build compliant, secure, and scalable data platforms that meet the toughest regulatory standards.

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Data Engineering Services & Solutions for Regulated Industries

Our data engineering services help organizations in finance, healthcare, retail, and manufacturing turn complex compliance demands into reliable, future-ready data ecosystems.

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Fintech & Payments
Fintech & Payments
  • Real-Time Fraud Detection Pipelines
  • PCI DSS-Compliant Data Warehouses
  • Transaction Data Lakes
  • Customer 360 Platforms
  • Regulatory Reporting Automation
Fintech & Payments

Challenges We Solve With Our Data Engineering Service

Here, at SPD Technology, we design and implement robust data pipelines, governance frameworks, and cloud-native architectures that eliminate bottlenecks, reduce inefficiencies, and mitigate risk while providing a scalable foundation for enterprise technology initiatives.

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    Fragmented and Siloed Data Ecosystems

    A disconnection between critical systems often slows down the decision-making process. By integrating data from multiple sources—including cloud, on-premises, and third-party systems—we build a unified data ecosystem that ensures seamless data flow, integrity, and security. Effective data integration from various sources is key to achieving comprehensive data insights, enabling your organization to make informed, strategic decisions. We know how to integrate data sources into usable, unified platforms.

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    Unreliable Data Quality and Lineage

    Precise data is a foundation for game-changing decisions. Our data scientists offer workflows for clean, consistent data with lineage tracking. We ensure data accuracy through comprehensive data quality assessments, which prevent errors and improve governance.

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    Scaling Data Infrastructure

    A robust data infrastructure is required for growing data volumes. We provide scalable and tailored data engineering solutions to ensure your data systems can efficiently handle increasing complexity without compromising performance. By leveraging cloud-native storage optimization, our data engineering practices can significantly reduce infrastructure costs.

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    Compliance and Regulatory Risks

    Non-compliance always leads to costly penalties and, at times, devastating financial losses. To address these risks, we implement comprehensive data governance frameworks and robust security measures, ensuring compliance with industry regulations such as GDPR, HIPAA, SOC 2, CCPA, and others. Our experts prioritize data security, integrity, and regulatory adherence throughout all data engineering services.

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    Cloud Cost Inefficiencies

    When cloud usage is not optimized, there may be significant waste of resources. Our company offers FinOps services to balance cloud performance with cost efficiency. By leveraging cloud data engineering solutions across major cloud platforms such as AWS, Microsoft Azure, and Google Cloud, we help optimize infrastructure costs. Additionally, our solutions automate provisioning and enable zero downtime cloud transitions, further reducing operational expenses.

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    AI/ML Readiness Gaps

    Enterprises often lack AI/ML expertise and struggle to prepare data properly. Our data engineering services support data science initiatives by ensuring robust data preparation, which is essential for AI/ML readiness and advanced analytics. We design data pipelines, offer model-ready datasets and embed MLOps best practices.

Data Engineering Service
Delivery Process 

At SPD Technology, we follow a structured yet flexible process powered by the latest technology to turn raw data into a fuel for effective enterprise-grade solutions.

  1. Step 1: Discovery & Requirements Analysis

    We define business objectives, map data sources, and consider governance requirements for data engineering consulting services outcomes to align with goals. During requirements analysis, we identify unique data challenges specific to your industry and leverage our data engineering expertise to ensure tailored, effective solutions.

  2. Step 2: Data Architecture & Workflow Design

    Our experts design scalable data models, schemas, and data workflows using advanced data engineering tools such as Apache NiFi, Airflow, and dbt, ensuring support for diverse data formats to optimize performance and compliance.

  3. Step 3: Data Ingestion & Pipeline Engineering

    We build automated ingestion pipelines that capture, clean, and transform data into assets ready for data analytics engineering services. As part of our data engineering services, we develop data processing jobs that transform raw data and load data into target systems during ingestion, ensuring seamless data movement and integration.

  4. Step 4: Integration & Workflow Automation

    Next comes connecting systems, APIs, and third-party tools, enabling smooth data exchange and automated processes across the enterprise. This includes automating data flows to reduce manual tasks, integrating data from multiple sources—such as cloud, on-premises, and third-party systems—for seamless, secure, and real-time analytics, and supporting efficient data operations through best practices like DataOps for improved availability and reliability.

  5. Step 5: Testing, Compliance & Performance Tuning

    We validate data quality and data accuracy, implement robust security measures such as encryption and validation, and utilize data governance frameworks to ensure compliance with GDPR/CCPA/HIPAA. We also fine-tune performance for scalability and efficiency.

  6. Step 6: Deployment, Monitoring & Continuous Optimization

    Finally, our experts deploy pipelines into production, implement monitoring and data observability, and continuously optimize for evolving business needs. We support data teams with continuous monitoring and optimization to ensure reliable data systems and empower better decision-making.

Data Engineering Services: Key Deliverables

Our company provides data engineering services & solutions that turn raw data into tangible business value.

  1. Custom Data Architecture Blueprint

    As data engineering consultants, we design data architectures tailored to specific workflows, systems, and goals, ensuring they are both scalable and maintainable. Our approach focuses on building robust data systems that form a resilient data ecosystem, delivering scalable solutions to support your business growth. Each blueprint is optimized for security, performance, and seamless integration into ecosystems.

  2. Compliance Documentation Pack

    By partnering with us, you will get a comprehensive set of compliance-ready documentation aligned with regulations like GDPR, CCPA, and HIPAA. Our documentation includes detailed data governance frameworks and robust security measures, supporting governance practices, ensuring audit readiness, and instilling confidence in meeting industry-specific standards.

  3. Data Quality & Lineage Reports

    We offer transparent reports on data quality, lineage, and integrity across systems. Our data engineering consultants explain where the data comes from, how it’s transformed, and whether it’s reliable for decision-making. We ensure data accuracy by implementing robust quality assurance processes and data observability in our quality and lineage reports, so you can trust your data for real-time insights and informed business decisions.

  4. Real-Time Dashboards

    While offering data engineering as a service, we design interactive dashboards that provide instant access to critical insights. With data refreshed in real-time, our clients’ teams can analyze data efficiently and support data-driven decision-making through actionable, up-to-date dashboards.

  5. Cloud Cost Simulation & Optimization

    As a part of our data integration engineering services, we simulate workloads and optimize infrastructure to keep cloud costs in check, while preserving performance. By leveraging cloud data engineering solutions across major cloud platforms such as AWS, Microsoft Azure, and Google Cloud, we ensure compatibility and flexibility. Our approach includes cloud-native storage optimization, providing predictable expenses and maintaining efficiency at scale.

  6. AI-Ready Infrastructure

    We are firm believers in advanced AI and machine learning, so our ecosystems are designed to support its adoption. Our experts deliver clean data pipelines and scalable storage for future implementations of predictive analytics and intelligent automation. To ensure your infrastructure is truly AI-ready, we emphasize thorough data preparation as a foundational step, enabling efficient ETL/ELT processes and reliable analytics. By leveraging our data engineering expertise, we build robust systems that not only manage and improve data quality but also support data science initiatives—empowering your organization to derive actionable insights from both structured and unstructured data.

Trusted Globally by Innovation-Driving Companies

From FinTech industry stalwarts to industry-leading eCommerce providers, from well-established large and mid-sized businesses in a range of verticals to promising digital startups

  1. An American financial services firm that provides investment research and investment management services
  2. Financial data and software company with offices in London, New York, San Francisco, and Seattle.
  3. All-in-one omni commerce payment solution with contactless, fast, secure, and safe payment processing
  4. One of the most recognizable landmarks, a company that specializes in innovative travel and hospitality services
  5. SaaS XSPN – Next Generation Application & Cloud Security Posture Management
  6. A leading tech-enabled insurance company that provides workers’ comp coverage to small businesses

Unlock real-time insights and operational agility with data pipelines built for scale and resilience.

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Why Choose SPD Technology for Data Engineering Services

IHere, at SPD Technology, we bring deep expertise and stand out as one of the top data engineering service providers by helping enterprises transform fragmented data into secure, scalable, and business-aligned ecosystems.

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    Proven Success in Regulated Industries

    Our data engineering teams have proven experience in building and managing data ecosystems for industries where accuracy, compliance, and reliability are essential, spanning finance to healthcare, with exceptional data integrity and performance. We implement data governance frameworks and robust security measures to deliver secure data, ensuring compliance with industry regulations and maintaining the highest standards of data quality and protection.

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    Compliance-First Engineering

    We base all of our solutions on airtight security and alignment with regulatory requirements. Our compliance-first engineering approach integrates data governance frameworks and robust security measures—such as encryption, anonymization, and access controls—to ensure data security and maintain data integrity. The engineers in our company focus on practices that emphasize data governance, role-based access, and auditability, offering clients complete data control.

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    Enterprise-Scale Expertise Across Clouds

    We excel at building and implementing powerful hybrid and multi-cloud data solutions with large-scale operations in mind. Our data engineering tech stack includes all major cloud platforms, such as AWS, Microsoft Azure, and Google Cloud, enabling us to deliver scalable solutions tailored for seamless data flow and efficient growth across diverse environments.

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    End-to-End Data Transformation Partner

    The data engineering service we provide includes everything from ingestion and pipeline automation to warehousing, analytics, and cloud migration. We offer comprehensive data engineering services that cover the entire data lifecycle, designing and developing a tailored data engineering solution to meet your unique business needs. As your trusted partner, we ensure the delivery and protection of valuable data, enabling continuous transformation and future-proofing your business.

Leverage our data engineering services to build a resilient data architecture that scales with your company growth.

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