About Us
DataPipeline.Pro is an experienced and accomplished consulting company, delivering world-leading Data & AI Solutions for over 13 years.
We understand that no two companies are the same - so we design and implement fully-customized BI solutions tailored specifically to each client’s unique needs and goals, ensuring the best possible results every time.
We position ourselves as the agile alternative to traditional, complex platforms, offering a modern, modular architecture for Data & AI that delivers superior value and cost efficiency for our customers.
We use best-in-class technology, enabling organizations to achieve faster time-to-value and significantly reduce the running cost of Data & AI solutions.
At DataPipeline.Pro, we are dedicated to answering your business questions with your own data.
Need the services of Data & AI professionals? Contact us for a Free Data & AI Consultancy today
Our Key Service Areas
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Data Engineering
- Data Architecture
- Data Integration from multiple sources
- Data Warehousing & Data Modeling
- Data Governance
- Cloud/OnPrem Migrations
- Custom Developments
Infrastructure & Architecture
- Design, Build & Deploy
- TCO Optimization
- Support
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Data Analytics
- Machine Learning Models
- Predictive/Prescriptive Analytics
- Advanced Statistical Analysis
- Algorithm Development
- Anomaly Detection
- Natural Language Processing
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Reporting & Visualizations
- Interactive Dashboards
- Custom Reports
- Data Visualization Design
- Self-service BI Tools
- Perfomance Metrics and KPIs
- Executive Dashboards
- Real-time Reporting
- Data Storytelling
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AI Services & Apps
- AI-Powered Data Enhancements
- AI Infrastructure & Deployment
- Advanced AI Applications
Consulting & Training
- Self-paced
- Hands-on
Technological Capabilities

Power BI is a powerful suite of tools for business analytics, data preparation, processing, and visualization. The platform is characterized by its scalability, Self-Service BI capabilities, integration with web/mobile versions, and minimal training time for end users.
We can help you create a new set of reports using your existing data, scale or optimize your current model, and provide ongoing support for your Power BI solution.

Informatica is an enterprise-level tool for data extraction, transformation, and loading (ETL). It is utilized in the development of enterprise data warehouses, data marts, and databases.
Need to build a stable and high-performance data processing interface?
We will train your team, consult, and assist with the implementation of Informatica Power Center or Informatica Intelligent Cloud Service for your data management projects. This helps reduce time, costs, and risks associated with data consolidation and/or migration.
We leverage this ETL platform to create data warehouses and stable, high-performance platforms for managing large volumes of data with high scalability. Informatica enables data acquisition and synchronization from various sources, including on-premises databases, SaaS applications, IoT devices, and streaming applications, into a cloud data lake, providing a unified view for your business.

Would you like to learn more about performance and cost efficiency for your data needs?
Our specialists have successfully completed over 10 projects involving the migration of existing databases and ETL processes to Snowflake, or the construction of data warehouses from scratch.
Snowflake offers a ready-to-use analytical data repository delivered as Software-as-a-Service (SaaS). You don't need to worry about virtual or physical hardware as the software does not require installation. The Snowflake team manages system maintenance, ensuring you receive updates to the latest software version.
Snowflake's data platform is not built on any existing database technology or "big data" platforms like Hadoop. Instead, Snowflake combines a completely new SQL query engine with an innovative architecture originally designed for the cloud. Users of Snowflake benefit from all the features of a corporate analytical database, along with numerous additional specialized functions and unique capabilities.

The MicroStrategy business analytics platform encompasses a comprehensive suite of tools designed to utilize and visualize any data generated within your organization. From interactive dashboards, scorecards, and visual reports with charts to complex statistical and data mining analyses, the platform is fully customizable and secured with enterprise-grade security features.
Extremely user-friendly for end-users, MicroStrategy enables the generation of highly sophisticated reports within minutes.

Alteryx is a platform for data preparation, integration, and analysis.
The platform is designed to make advanced analytics accessible to any employee working with data.
One of its core products is Alteryx Designer, which enables users to quickly prepare, blend, match, and analyze data from virtually any source, including PDF files and images. This is achieved through a visual designer workflow that is intuitive and does not require programming skills.
With advanced machine learning capabilities, your data workers can rapidly create predictive models without writing code or performing complex statistics. Whether it's guided, step-by-step, or fully automated workflows, the platform helps you create trained algorithms ready for deployment.

Oracle Database and Data Integrator is a database management system (DBMS) and ETL (Extract, Transform, Load) tool provided by Oracle.
Oracle Database offers market-leading performance, scalability, reliability, and security for both on-premises and cloud deployments.
Oracle Data Integrator (ODI) is an Extract, Transform, Load (ETL) tool that provides a graphical environment for building, managing, and supporting data integration processes in business analytics systems.

Azure is Microsoft's cloud platform offering services as both Platform-as-a-Service (PaaS) and Infrastructure-as-a-Service (IaaS). It provides capabilities for developing, deploying, and storing applications and data on Microsoft servers.
For our data solutions, we utilize the following products:
- SQL DB: for building data warehouses and data marts.
- Storage account: for constructing data lakes.
- Azure Data Factory: for data ingestion, processing, and loading (ETL).
- Power Automate: an online service for workflow automation across popular applications and services.
If you're interested in learning more about which set of services would best suit your needs, please feel free to contact us.

Databricks is a unified analytics platform that simplifies big data and machine learning workflows with collaborative features and scalable infrastructure.
It integrates Apache Spark for data processing with collaborative notebooks, allowing teams to explore, analyze, and visualize data interactively. Databricks facilitates scalable data engineering, data science, and AI model development, enabling organizations to derive actionable insights and accelerate innovation.

Looker is a data exploration and business intelligence platform that empowers organizations to analyze and visualize their data with unified insights.
It offers interactive dashboards, reports, and data visualizations that empower users to explore insights intuitively. Looker's unique modeling layer allows for flexible data modeling and transformation, enhancing data accuracy and usability. It supports SQL querying and integrates seamlessly with various data warehouses and cloud platforms, facilitating advanced analytics and predictive modeling.
Looker is ideal for teams seeking to leverage data-driven decision-making and optimize business operations through collaborative data exploration and visualization.

Apache NiFi is a data integration and processing platform from the Apache Software Foundation that automates the flow of data between systems with real-time, configurable workflows.
Apache NiFi simplifies data integration by providing an intuitive interface for designing and managing data flows in real-time. It supports tasks like data ingestion, routing, and transformation across different systems, making it valuable for handling complex data workflows, ensuring data quality, and enabling timely data processing and analytics.
Organizations benefit from NiFi's capability to automate data movement, improve operational efficiency, and maintain robust data governance practices.

Apache Superset is an open-source data exploration and visualization platform for modern analytics and business intelligence.
Apache Superset enables users to visualize data, build interactive dashboards, and perform ad-hoc analysis effortlessly. It supports multiple data sources, making it user-friendly for creating and sharing visualizations, catering to business users and data analysts.

Pentaho is an integrated business intelligence and data integration platform that enables organizations to extract, transform, load (ETL) data and perform analytics for informed decision-making.
Pentaho provides robust capabilities for data integration, ETL, data warehousing, and business analytics. It supports various data sources and formats, allowing organizations to streamline data workflows, cleanse data for accuracy, and generate actionable insights through intuitive reporting and dashboarding functionalities.
Pentaho's flexibility and scalability make it valuable for optimizing business processes, improving operational efficiency, and facilitating data-driven decision-making across enterprises.

Python is a versatile programming language that integrates simplicity with powerful libraries for web development, data analysis, artificial intelligence, and more.
It's widely used for web development, data analysis, artificial intelligence, machine learning, and automation. With a rich set of libraries and frameworks, Python enables developers to build applications quickly and efficiently, and its large community provides ample resources and support.

JavaScript is a dynamic programming language that integrates seamlessly with HTML and CSS to create interactive and responsive web applications.
It integrates seamlessly with HTML and CSS to enhance user interfaces and improve user experiences. JavaScript is supported by all modern web browsers and allows developers to build complex functionalities, such as real-time updates, animations, and form validations. Additionally, with frameworks like React, Angular, and Vue, JavaScript extends its capabilities to single-page applications, mobile app development, and server-side scripting with Node.js.

Microsoft SQL Server is a relational database management system (RDBMS) that provides a secure, scalable, and high-performance platform for managing structured data. It supports a wide range of business applications, from transactional systems to advanced analytics, ensuring reliability and data integrity.
It offers powerful features for database administration, including advanced indexing, query optimization, and in-memory processing for high-speed performance. SQL Server integrates seamlessly with business intelligence and reporting tools, enabling organizations to analyze and visualize data efficiently. With support for cloud, hybrid, and on-premises deployments, it ensures flexibility and scalability, while built-in security and compliance features protect sensitive information.

IBM Db2 is a relational database management system designed to efficiently store, analyze, and manage large volumes of structured and unstructured data. It provides high availability, scalability, and advanced data management features for enterprises across industries.
Db2 supports both transactional and analytical workloads, offering features like in-memory computing, data compression, and advanced query optimization for superior performance. It integrates with modern analytics and AI platforms, enabling organizations to unlock insights from their data. With strong support for hybrid cloud and multi-platform environments, Db2 ensures flexibility, security, and compliance for mission-critical applications.

ClickHouse is an open-source columnar database management system designed for real-time analytical processing. It delivers lightning-fast query performance on large datasets, making it ideal for data analytics, business intelligence, and log analysis.
ClickHouse uses a column-oriented storage format that enables high compression rates and efficient query execution, even on petabyte-scale data. It supports distributed processing, fault tolerance, and parallel query execution, ensuring scalability and reliability. With its ability to handle high-ingestion workloads and deliver sub-second query responses, ClickHouse empowers organizations to analyze data interactively and make data-driven decisions in real time.

PostgreSQL is a powerful open-source relational database system known for its robustness, reliability, and advanced SQL compliance. It is widely adopted for transactional workloads as well as analytical processing due to its flexibility and extensibility.
PostgreSQL supports advanced data types, indexing methods, and extensibility features such as custom functions and stored procedures. It offers strong ACID compliance, MVCC for concurrent transactions, and powerful query optimization. With support for JSON, geospatial data, and full-text search, PostgreSQL bridges the gap between traditional relational databases and modern application needs. Its scalability and active community make it a trusted choice for enterprises, startups, and research institutions alike.

Azure Data Factory is a cloud-based data integration service that enables the creation of data-driven workflows for orchestrating and automating data movement and transformation at scale.
It allows organizations to connect to diverse on-premises and cloud data sources, ingest data securely, and transform it through mapping data flows or external compute services. With a no-code/low-code interface as well as integration with Azure services, Azure Data Factory provides flexibility for both business users and developers. It supports scheduling, monitoring, and management of complex ETL/ELT pipelines, making it a central component for building modern data platforms in the cloud.

Microsoft Fabric is an end-to-end analytics platform that unifies data engineering, data integration, data science, real-time analytics, and business intelligence in a single environment.
It provides a fully integrated and scalable solution that enables organizations to manage the entire data lifecycle — from ingestion and transformation to advanced analytics and visualization. Built on top of OneLake, a single logical data lake, Microsoft Fabric eliminates data silos and ensures seamless collaboration across teams. With native integration with Power BI, Azure Synapse, and AI-powered features, it empowers businesses to turn raw data into actionable insights faster and more efficiently.

Tableau is a leading data visualization and business intelligence platform that helps organizations transform raw data into clear and interactive dashboards.
It enables users to explore and analyze data intuitively through drag-and-drop functionality, without requiring deep technical expertise. Tableau connects to a wide range of data sources, both on-premises and in the cloud, and provides powerful tools for interactive visualization, trend analysis, and storytelling. By empowering teams to make data-driven decisions quickly, Tableau enhances collaboration, improves transparency, and supports strategic business growth.
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Strategy is a modern business intelligence and analytics tool that enables organizations to connect, analyze, and visualize data for more effective decision-making.
The platform helps businesses transform raw data into meaningful insights through interactive dashboards, reports, and advanced analytics. Supporting integration with multiple data sources, Strategy ensures a unified view of company performance and KPIs. Its intuitive interface and collaboration features make it easier for teams to share findings, align on strategic objectives, and drive data-driven growth.

QlikView is a business discovery platform that allows companies to analyze data intuitively and make informed decisions through powerful visualizations.
QlikView provides an associative data model that enables users to freely explore information without being limited by predefined queries. Its interactive dashboards and fast in-memory processing allow teams to quickly identify patterns, trends, and correlations across different data sources. With built-in collaboration and security features, QlikView supports organizations in making data-driven decisions at all levels, from operational analysis to strategic planning.

Amazon Web Services (AWS) is the world’s most comprehensive cloud platform, offering scalable infrastructure and services for storage, computing, analytics, and machine learning.
AWS provides organizations with a wide range of cloud-based solutions, including secure data storage, virtual servers, advanced analytics, and AI-driven services. Its global infrastructure ensures high availability and scalability, while built-in tools support automation, monitoring, and cost optimization. By leveraging AWS, companies can accelerate innovation, optimize operations, and quickly adapt to changing business needs without the burden of maintaining on-premise infrastructure.

Google Cloud Platform (GCP) is a powerful cloud computing service that enables businesses to build, deploy, and scale applications with ease, supported by Google’s global infrastructure.
GCP offers a comprehensive suite of services including data storage, machine learning, advanced analytics, and application hosting. With seamless integration to tools like BigQuery and TensorFlow, it empowers organizations to harness data-driven insights and accelerate innovation. Thanks to its global network, strong security standards, and cost-efficient scalability, GCP is a reliable platform for enterprises looking to modernize their IT landscape and achieve digital transformation.

Oracle Hyperion is a leading enterprise performance management (EPM) platform designed to help organizations plan, budget, forecast, and analyze financial and operational performance.
Hyperion provides advanced tools for financial consolidation, reporting, and strategic planning, ensuring accuracy and compliance in corporate finance processes. It enables businesses to align financial results with operational goals, streamline reporting cycles, and gain deeper insights into performance drivers. With strong integration capabilities and robust analytics, Oracle Hyperion is widely adopted by large enterprises to support decision-making and improve overall business agility.

Amazon Bedrock is a fully managed AWS service designed to build and scale applications powered by generative AI. It provides access to a wide range of high-performance foundation models (FMs) from leading AI providers, including Amazon, Anthropic, Meta, and others. With a single API, developers can quickly integrate generative AI capabilities into their applications without managing infrastructure.
Amazon Bedrock simplifies building AI applications by providing access to multiple foundation models, easy customization with your data, and built-in security and governance features. Its serverless architecture enables scalable, cost-efficient deployments, while seamless integration with AWS services ensures flexible, production-ready solutions.

Qdrant is a high-performance, open-source, fully managed vector database designed for storing and searching vector embeddings. It is optimized for unstructured data such as text, images, and audio, and provides an easy-to-use API for integration into AI-powered applications.
Qdrant enables fast vector search with hybrid queries, combining embeddings and metadata filters. It offers scalable, reliable storage in memory or on disk, with compression options, and provides multi-language SDKs for easy integration. Ideal for recommendation engines, neural search, and retrieval-augmented generation (RAG) pipelines.

LangChain is an open-source framework designed to simplify the development of applications powered by large language models (LLMs). It provides a unified interface to integrate LLMs with external data sources, APIs, and tools, facilitating the creation of complex AI workflows with minimal code.
LangChain offers:
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Modular components: Includes chains, agents, memory, and tools that can be combined to build sophisticated applications.
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Extensive integrations: Supports over 600 integrations with various LLMs, vector stores, APIs, and databases.
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Stateful orchestration: Utilizes LangGraph for orchestrating multi-step processes with human-in-the-loop capabilities.
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Observability and monitoring: Features LangSmith for debugging, tracing, and evaluating applications.
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Deployment support: Enables turning applications into production-ready APIs and assistants with LangGraph Platform.

Open AI is an artificial intelligence research organization founded in 2015, headquartered in San Francisco. Its mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. OpenAI develops advanced AI models and tools, including the GPT series, DALL·E, Whisper, and ChatGPT, advancing digital intelligence safely and responsibly.
OpenAI’s products enable developers to integrate powerful AI into applications, providing flexible APIs and tools while prioritizing safe and beneficial AI deployment. OpenAI provides:
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GPT Models: State-of-the-art language models, including GPT-4 and GPT-5, for tasks like writing, coding, and reasoning.
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DALL·E: Generates high-quality images from text prompts for creative applications.
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Whisper: Multilingual speech recognition, translation, and language identification.
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ChatGPT: Conversational AI for interactive tasks, including document reading, image generation, and transcription.
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Deep Research: Multi-step internet research and synthesis for complex tasks.

Microsoft Azure s a cloud computing platform from Microsoft that provides a wide range of services, including computing, storage, networking, and AI. It allows organizations to build, deploy, and manage applications at scale using Microsoft’s global data centers.
Microsoft Azure offers flexible cloud services to support modern applications and business workloads. It includes virtual machines, serverless computing, and container services for running applications efficiently. Azure provides secure and scalable storage, networking tools, and AI/ML capabilities for data-driven solutions. Analytics services enable insights from large datasets, while hybrid cloud options and integrated security ensure reliable, compliant operations across cloud and on-premises environments.

Oracle Essbase is a high-performance multidimensional database management system (MDBMS) designed for complex data analysis and modeling. It enables organizations to perform real-time analysis, budgeting, forecasting, and reporting across various business dimensions, such as time, geography, and product categories.
Oracle Essbase provides multidimensional modeling, advanced calculations, and real-time data analysis. It integrates with Excel for user-friendly reporting and supports both cloud and on-premises deployments, offering secure, scalable solutions for enterprise performance management.
Our Clients
We hold ourselves to extremely high standards, and never fail to meet them. Our expertise and success enabled us to expand into international markets in 2016, bringing our solutions to even more market-leading clients. Some of our biggest clients include: