We help companies transform chaotic data into structured, reliable insights that accelerate innovation, drive performance, and improve cost-efficiency.
SPD Technology delivers end-to-end enterprise data lake engineering services, helping companies transform inefficient data environments into modern ecosystems.
After assessing the existing data environments, identifying silos, inefficiencies, and governance gaps, we provide a detailed roadmap for data lake implementation. The roadmap ensures the data lake implementation aligns with the organization’s data strategy, supporting long-term value by connecting high-level strategy with business goals and compliance requirements, and turning disconnected sources into a governed ecosystem.
Our team deploys cloud-native data lakes that integrate structured, unstructured, and semi structured data from multiple sources. These data lakes are designed to store data in its raw form, enabling flexible analytics and future scalability. Using the latest data lake tools and technologies, we ensure data pipelines are consistent, monitored, and reliable, enabling faster, more accurate analytics.
For unique business needs, we offer bespoke data lake engineering services, from advanced ETL workflows to real-time streaming data pipelines. Our solutions are optimized for scalability, performance, and future growth, with the ability to handle large and complex datasets, ensuring that data lake seamlessly evolves with an organization.
As a data lake services provider, we modernize legacy data architectures, migrate to cloud-native solutions, and optimize storage and compute resources, delivering enhanced storage capabilities for modern data needs. The result is reduced operational costs, improved data accessibility, and enhanced analytics capabilities, powering smarter, faster decision-making.
By providing enterprise data lake services, SPD Technology helps organizations move from manual, siloed data environments to intelligent, automated ecosystems.
With fragmented systems from diverse data sources, it gets hard to access vital information consistently, making decision-making slower and resulting in operational blind spots. Having these silos makes it impossible for management to obtain a unified view.
Organizations that migrate to a modern data lake, keep all enterprise data into one centralized, scalable environment. Proper metadata management, governance and access controls ensure the highest reliability and consistency.
Manually written code and not standardized processes are prone to breaking, leading to delays, inaccuracies, and constant firefighting. As data volumes grow, this introduces performance bottlenecks that limit business agility.
Automated orchestration ensures data pipelines run reliably, consistently, and at scale. Continuous monitoring, alerting, and CI/CD updates improve data quality and free teams to focus on higher-value work.
Legacy storage and compute environments demand resources constantly, as well as extensive manual maintenance. This creates high operational expenses and limits the organization’s ability to scale efficiently.
By relying on cloud-native storage, it is possible to reduce infrastructure overhead and eliminate overprovisioning. With the help of automatic scaling and usage-based pricing, achieving peak performance at optimal costs becomes reality.
Batch-only processing and outdated dashboards prevent timely decision-making. These limitations keep teams reactive rather than enabling them to leverage data to take action proactively.
Streaming ingestion and in-memory processing enable instant visibility into business operations. Advanced analytics and machine learning models, that come with data lake services, provide forward-looking insights with advanced analytics capabilities that support strategic decisions.
Lack of transparency around data movement increases audit risk and complicates reporting, and also puts data integrity at risk. Manual tracking makes it difficult to prove compliance and enforce governance policies.
Automated lineage, encryption, and role-based access control ensure compliance is built into the ecosystem by design. Modern data lake platforms ensure every data touchpoint becomes traceable, secure, and fully aligned with regulatory requirements.
Traditional on-premise platforms restrict scalability, flexibility, and integration with advanced analytics tools. They slow down innovation and require significant effort to maintain, creating unnecessary expenses for wasted resources.
A cloud-based data lake architecture supports rapid scaling, seamless integration, and continuous modernization. It provides the foundation needed for advanced analytics, AI, and machine learning at enterprise scale, while supporting modern data management practices such as improved data governance, observability, and security.
By providing custom data lake engineering services, we empower companies to unlock advanced analytics, improve management and analysis of customer data, and establish a flexible foundation for long-term data modernization.
Overhaul of existing data infrastructure to handle large datasets.
New business-critical features delivered that are fueled by accurate data.
Users are enjoying improved customer experience and better management of customer data delivered by our team.
Records analyzed and managed by our powerful data analytics system.
Fabrice Forget
Chief Product Officer, PitchBook
We feel very lucky to have found SPD Technology as our partner. Over the last 10 years, they have totally surpassed our expectations, and day after day we have received incredible value from the team. Here is the secret sauce, just put together your best ideas in your requirements and there is nothing they can’t do!
By combining cloud-native architectures, advanced data platforms, and automated pipelines, SPD Technology helps organizations tackle complex data challenges with data lake development services.
Centralized data lakes we build combine data from CRM, ERP, IoT, logs, and third-party applications. We ensure clean, accurate and analytics-ready data as a proficient data lake service provider.Additionally, we implement data cataloging to organize and manage metadata, enabling easier data discovery and streamlined governance.
SPD Technology delivers data lake services that help organizations build scalable, intelligence-ready data ecosystems.
Our company designs cloud-native data lake architectures, integrating both lakes and data warehouses for unified analytics, crafted for durability, scalability and exceptional performance. The environments we create support large-scale analytics, AI/ML integrations, and high-volume data ingestion.
To accelerate delivery and eliminate manual effort, we implement DataOps best practices across pipelines. Automated testing, CI/CD for data workflows, pipeline observability, and orchestration ensure consistency, reliability, and faster iteration.
While providing data lake engineering services, we build ETL/ELT pipelines and real-time data streaming using Apache Spark, Kafka, and serverless frameworks, enabling continuous data ingestion, rapid transformations, and timely insights, with support for semi-structured data formats such as XML and JSON.
Engineers in our team apply compliance-ready policies, robust governance framework and data security best practices, fine-grained access control and encryption. Each data set is secured, tracked and managed for the highest transparency and precision.
We integrate BI tools, semantic layers, and advanced analytics platforms directly into data lakes. This allows teams to access governed, analytics-ready data, enabling data scientists and analysts to collaborate more effectively and build dashboards, predictive models, and decision-support systems.
Our data lake implementation services are always delivering secure, governed, and privacy-driven data ecosystems.
We design data lakes that fully comply with industry and regional standards, including GDPR, HIPAA, PCI-DSS, SOC 2, and financial-sector regulations. Our teams implement compliant data flows, audit trails, retention policies, and automated reporting.
Our team establishes robust governance frameworks that define ownership, data quality standards, and lifecycle management. We implement fine-grained access controls, role-based permissions, encryption, and secure identity management.
Our company applies privacy-by-design principles, implementing data minimization and pseudonymization techniques. Combined with continuous monitoring and automated policy enforcement, our approach ensures maintaining strict privacy protections.
By Independent Organizations
Confirmed by Oracle certification, our company provides top-notch tech expertise in building and delivering cutting-edge database and cloud-based apps.
IIBA Certification signifies our proficiency in business analysis, ensuring a deep understanding of client needs and industry requirements.rn
With AWS Certification, we guarantee top-tier cloud expertise, enabling us to architect robust, scalable, and secure solutions.
Trusting your project development to us, you can rely on our project management excellence, meticulous planning, and efficient resource utilization. rn
Our Scrum Alliance Certification demonstrates our dedication to agile methodologies, fostering collaboration and iterative development.rn
Backed by Scrum.org Certification, our development team leverages the best principles of Scrum to build superior and iterative software solutions.
Our data lake managed services allow organizations to efficiently manage data across the organization, leveraging intelligence-ready data ecosystems that unlock analytics, automation, and competitive advantage.
Our team brings experience in delivering large-scale data platforms for enterprises across fintech, SaaS, healthcare, and eCommerce. We ensure your data lake architecture meets the highest standards of reliability, governance, and performance.
Our unified delivery framework includes data lake consulting services, data engineering, analytics, AI/ML, and cloud architecture. This approach allows us to ensure seamless operation, eliminate silos and boost deployment.
Clients of our company get measurable returns that include reduced data processing costs, faster insights, and improved operational efficiency. We ensure business value by focusing on real-world outcomes, not just technical aspects.
We work with all major cloud providers and modern data platforms, selecting only the tools and technologies that best fit your environment, goals, and budget. This ensures long-term scalability without vendor lock-in.
Security and compliance are embedded into every layer of data lakes. We implement encryption, access controls, continuous monitoring, and regulatory frameworks to protect sensitive information at scale, even in big data storage solutions.
We offer flexible, transparent engagement models, giving clarity over scope, timeline, and budget at every stage. Whether you hire data lake developers as a part of your internal team, or trust us to build the entire solution, we will always deliver.
From Fintech industry stalwarts to industry-leading eCommerce providers, we ensure the comprehensive alignment between emerging technologies and established business processes.
With our connected data services, we help organizations evolve beyond simple storage and turn their data lake into unified, intelligent ecosystems of the future.
SPD Technology builds Artificial Intelligence and machine learning solutions that transform raw data into predictive intelligence, leveraging data stored in the data lake for training and deploying AI/ML models. From design to post-release support, our AI/ML services unlock new opportunities for personalization and automation.
Our teams design scalable ingestion pipelines, leveraging the expertise of data engineers in building and maintaining these pipelines, automate transformations, and ensure data flows reliably across systems. Our data engineering services are aimed at performance, fast experimentation, real-time analytics, and efficient processing.
We define the strategic direction of your data lake by aligning technology with business priorities, as a part of data strategy consulting. Through governance frameworks, architectural planning, and maturity assessments, we ensure your data initiatives deliver measurable value.
We help organizations activate their data through clear, intuitive data analytics experiences, with support for Big Data analytics to uncover deeper insights. From dashboards to advanced insights, our solutions give teams the visibility and confidence they need to make timely, informed decisions.
To get structured, governed, and mission-critical data, we pair your lake with a modern data warehouse layer, integrating data lakes and data warehouses for unified analytics. This hybrid approach ensures accuracy, compliance, and enterprise-grade performance for BI and reporting workloads.
We migrate to cloud environments to support scalable data operations. Automated scaling, secure architectures, and cost-efficient workloads ensure your data-driven ecosystem performs at its best.
SPD Technology designs and develops transformative software solutions that drive innovation, new revenue streams, and market leadership.
Industry: Finance, Payments & Fintech 
Country: the USA 
Team Size: 6 Industry: Finance, Payments & Fintech Country: the USA Team Size: 78 Industry: Insurance Country: the USA Team Size: 14 To share their experiences
Alex Samano
Co-Founder & CEO, Mogami App
SPD Technology has done a great job of maintaining the lifeblood of their codes. They’re transparent with pricing models and deliver within budget. Their dedicated teams act as an extension of the partner’s company. Responsibility and a commitment long-term partnership are two hallmarks of their work.
Fabrice Forget
Chief Product Officer, PitchBook
We feel very lucky to have found SPD Technology as our partner. Over the last 10 years, they have totally surpassed our expectations, and day after day we have received incredible value from the team. Here is the secret sauce, just put together your best ideas in your requirements and there is nothing they can’t do!
John Gabbert
Founder and CEO PitchBook Data
Customers are king at PitchBook and SPD Technology shares in this mission. For the last 13 years, SPD Technology has helped us scale product development and continuously deliver the product functionality our clients need to make smarter decisions.
Prasad Sridhar
Senior Engineering Manager E-comerce Solutions Company
SPD Technology’s work has been praised by the client for their consistency and high quality. Their communicative, responsive, and flexible project management ensures a positive collaboration. Ultimately, their professionalism and forward-thinking are impressive.
Shariq Ahmad
Head of Technology, Morningstar, Inc
All of their developers and technology staff are highly talented and very professional. Working with SPD felt like we were working with internal team. They are always accessible any time of the day and very flexible in providing support to our users who are globally distreibuted.
To share their experiences
Alex Samano
Co-Founder & CEO, Mogami App
SPD Technology has done a great job of maintaining the lifeblood of their codes. They’re transparent with pricing models and deliver within budget. Their dedicated teams act as an extension of the partner’s company. Responsibility and a commitment long-term partnership are two hallmarks of their work.
Fabrice Forget
Chief Product Officer, PitchBook
We feel very lucky to have found SPD Technology as our partner. Over the last 10 years, they have totally surpassed our expectations, and day after day we have received incredible value from the team. Here is the secret sauce, just put together your best ideas in your requirements and there is nothing they can’t do!
John Gabbert
Founder and CEO PitchBook Data
Customers are king at PitchBook and SPD Technology shares in this mission. For the last 13 years, SPD Technology has helped us scale product development and continuously deliver the product functionality our clients need to make smarter decisions.
Prasad Sridhar
Senior Engineering Manager E-comerce Solutions Company
SPD Technology’s work has been praised by the client for their consistency and high quality. Their communicative, responsive, and flexible project management ensures a positive collaboration. Ultimately, their professionalism and forward-thinking are impressive.
Shariq Ahmad
Head of Technology, Morningstar, Inc
All of their developers and technology staff are highly talented and very professional. Working with SPD felt like we were working with internal team. They are always accessible any time of the day and very flexible in providing support to our users who are globally distreibuted.
Steve Carner
Founder CEO, Home Hub
The team at SPD Technology exceeds expectations. Their professional communication style makes them stand out, They’re a skilled group of detailed-oriented workers. Customers can expect a team that provides helpful suggestions to better their clients.
They provide a scalable repository for storing vast amounts of structured and unstructured data in its raw form, allowing businesses to capture every data point and later analyze it.
It typically includes:
Governance, security, and metadata management span across all layers to ensure compliance and data quality
Data lakes reduce storage costs, centralize enterprise data, and support advanced analytics, while also ensuring data quality for reliable business insights. To learn more benefits as related to your particular case, it makes sense to use data lake consulting services.
A basic cloud-native data lake can be deployed in several weeks, while a fully mature, enterprise-grade solution may take several months. Get a cloud data lake assessment to receive specific numbers.
They enable data-driven decision-making, automation, personalization, and analytics, serving as a foundational layer for AI and modern product-led growth strategies.