How can data engineering help us centralize data from different systems?

With the help of data engineering, it is possible to connect and integrate data from all tools, apps, and databases into a single source of truth, providing consistent, real-time insights across the organization.

Can we hire a dedicated data engineering team for ongoing projects?

Yes, our company offers vetted dedicated teams that seamlessly embed in your processes to support both short-term initiatives and long-term growth, scaling up and down when necessary.

What kind of ROI can we expect from investing in data engineering?

By eliminating data silos and automating workflows, our clients typically see faster decision-making, reduced operational costs, and stronger business performance.

Can we control access to sensitive data in your solutions?

Absolutely, as our data engineering solutions include strict role-based access controls and compliance-ready security frameworks.

Can you modernize legacy data infrastructure or migrate to the cloud?

Our company specializes in modernizing legacy systems and implementing flawless cloud migrations that reduce downtime and future-proof data architectures.

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.

SPD Technology
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.

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.

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

Data Warehousing Services
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.
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.
Data Quality & Governance
Data quality and governance are integral to every data analytics service we deliver. We utilize the most effective frameworks and data governance practices to ensure compliance and reliability, enabling our clients to operate with confidence.
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.
Data Platform Development
We deliver enterprise-grade data platforms tailored to the specific needs of our clients. By providing data platform development, we integrate cloud, on-premises, and hybrid environments, ensuring seamless data management across the entire lifecycle.

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.

Legacy Modernization Expertise
We modernize legacy systems by migrating warehouses and pipelines to the cloud, replacing batch processes with real-time streaming, and preserving business logic.
Cloud-Native Data Architectures
We implement cloud-native solutions that leverage the flexibility and FinOps. With our big data engineering services, clients scale seamlessly and adopt advanced analytics.

Real-Time Data Processing & Streaming
By using data engineering services we provide, our clients gain benefits from real-time data processing, streaming, and predictive analytics for operational efficiency.
Enterprise-Scale Data Integration
As a data engineering service provider, we ensure seamless integration of diverse data sources into a unified ecosystem, enabling our clients to maximize data value.

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

→ 100%
Overhaul of data infrastructure.
AI and Data Engineering for Transportation Construction
→ 2000+
Enterprise clients use our AI/ML data analytics solution.
AI Tool to Automate Social Media Metrics
→ >1 minute latency
Quick and accurate insights for real-time decision-making.
Cutting-Edge AI for Predictive Maintenance
→ 10x
Data storage cost reduction and data processing optimization.
Equipping Asset Management Company with AI-Enabled Web Crawler
→ 5x
Cost efficiency boost.
AI for Transforming PDF Data Extraction
→ 100%
Redesign of data architecture.
Overhauling Reporting System with Advanced Data Engineering

Success Stories with Global Impact

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

See All Cases

Automated Billing & Data Management for Pie Insurance’s Growth

Industry: Insurance
Country: the USA
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

How We Helped Phoenix Security Scale Fast and Reliably

Industry: Administrative Services
Country: UK
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.

View Case Study

AI/ML Development for the Global Investment Data Analysis Platform

Industry: Business Research & Data Analytics
Country: the USA
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.

View Case Study

Build compliant, secure, and scalable data platforms that meet the toughest regulatory standards.

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.

Fintech & Payments

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

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.

Fragmented and Siloed Data Ecosystems

A disconnection between critical systems often slows down the decision-making process. We know how to integrate data sources into usable, unified platforms.
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.
Scaling Data Infrastructure

A robust data infrastructure is required for growing data volumes. We design scalable architectures for increasing complexity without compromising performance.
Compliance and Regulatory Risks

Non-compliance may lead to massive financial losses. We are aware of the risks and consequences, as our experts comply with GDPR, HIPAA, CCPA, and other regulations.
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.
AI/ML Readiness Gaps

Enterprises often lack AI/ML expertise and struggle to prepare data properly. 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.

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.
Step 2: Data Architecture & Workflow Design
Our experts design scalable data models, schemas, and workflows, selecting the right data integration tools and technologies for performance and compliance.
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.
Step 4: Integration & Workflow Automation
Next comes connecting systems, APIs, and third-party tools, enabling smooth data exchange and automated processes across the enterprise.
Step 5: Testing, Compliance & Performance Tuning
We validate data quality, ensure compliance with GDPR/CCPA/HIPAA, and fine-tune performance for scalability and efficiency.
Step 6: Deployment, Monitoring & Continuous Optimization
Finally, our experts deploy pipelines into production, implement monitoring and observability, and continuously optimize for evolving business needs.

Data Engineering Services: Key Deliverables

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

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. Each blueprint is optimized for security, performance, and seamless integration into ecosystems.
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. This supports governance practices, ensures audit readiness, and instills confidence in meeting industry-specific standards.
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.
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 make fast, confident, and data-driven decisions.
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. Our approach provides predictable expenses and maintains efficiency at scale.
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.

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

An American financial services firm that provides investment research and investment management services
Financial data and software company with offices in London, New York, San Francisco, and Seattle.
A Swiss multinational, the world’s largest biotech company that operates worldwide
All-in-one omni commerce payment solution with contactless, fast, secure, and safe payment processing
One of the most recognizable landmarks, a company that specializes in innovative travel and hospitality services
SaaS XSPN – Next Generation Application & Cloud Security Posture Management
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.

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.

Data Engineering Services that Power Scalable AI-Ready Enterprises

What Modern Enterprises Need for Data-Enabled Growth

End-to-End Data Engineering Servicesfor Leading Enterprises

Latest Tech Expertise Behind Our Big Data Engineering Services

Value-Based Outcomes We Delivered to Our Global Clients

Success Stories with Global Impact

Automated Billing & Data Management for Pie Insurance’s Growth

How We Helped Phoenix Security Scale Fast and Reliably

AI/ML Development for the Global Investment Data Analysis Platform

Build compliant, secure, and scalable data platforms that meet the toughest regulatory standards.

Data Engineering Services & Solutions for Regulated Industries

Challenges We Solve With Our Data Engineering Service

Data Engineering ServiceDelivery Process

Data Engineering Services: Key Deliverables

Trusted Globally by Innovation-Driving Companies

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

Why Choose SPD Technology for Data Engineering Services

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

FAQ: The Critical Questions on the Data Engineering Process

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End-to-End Data Engineering Services
for Leading Enterprises

Data Engineering Service
Delivery Process