AI/ML-powered data engineering to build an integrated, automated, and scalable ecosystem

Data silos and growing volumes are the major roadblocks in making data accessible. We design, build, and optimize your data architecture—from integration to analysis—to create a unified system that handles diverse data types and complex queries at scale.

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Accelerate data to outcome journey with robust data architecture and self-service visualization

Organizations leverage data to enable advanced analytics, power AI/ML initiatives, and drive business intelligence at scale. But successful data initiatives need a robust architectural foundation, well-defined use cases, expertise in selecting and implementing appropriate technologies, and best practices for data governance and security.

With 12+ years of data engineering experience, 200+ skilled data engineers, and a track record of success with Fortune 500 clients, WebNetNode equips you with the expertise to maximize the value of your data assets and facilitate in-the-moment insights. Whether you’re modernizing legacy data systems, building scalable data pipelines from scratch, orchestrating automated data-intensive workflows, or implementing real-time analytics, our team of data architects, ETL specialists, and analytics experts delivers solutions to ensure every data consumer can access the data they need, when they need it.

Our data engineering services

Our Data and BI experts help you bridge the gap between your data sources and business intelligence tools so everyone on your team can analyze data from a variety of perspectives, draw robust reports, and make actionable business decisions.

Data integration

Unify data from fragmented systems into reliable pipelines that support analytics, reporting, and AI/ML workflows. WebNetNode implements ETL and ELT solutions, data ingestion to warehouses and lakes, custom API connectors, and advanced AI/ML integrations across cloud, on-prem, and enterprise application environments.

ETL & ELT solutions Data ingestion AI/ML integrations
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Data platform modernization

Modernize legacy data infrastructure into a governed, AI-ready platform that can scale across domains and workloads. WebNetNode redesigns platform layers around lakehouse architecture, data mesh principles, Microsoft Fabric, OneLake, Databricks, lineage, governance, and self-service data enablement.

Lakehouse platforms Data lineage Self-service data
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Analytics and GenBI

Move from fragmented reporting to governed, conversational analytics built for the GenBI era. WebNetNode modernizes BI foundations, migrates legacy reporting environments, activates Copilot-ready semantic models, and builds agentic analytics workflows that detect KPI anomalies, generate insight narratives, and recommend next actions with traceability.

BI modernization Generative BI activation Agentic analytics
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DataOps

Operationalize data pipelines so quality, governance, and reliability scale with analytics and AI demand. WebNetNode implements DataOps practices across pipeline orchestration, infrastructure automation, policy-as-code, data quality controls, self-healing pipelines, and AI-ready workflows for feature engineering, dataset versioning, and vectorization.

Pipeline orchestration Self-healing pipelines AI-ready DataOps
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Use cases we cater to with data engineering services

Financial Intelligence

Our team has extensive experience in delivering data platforms for credit scoring, fraud detection, transaction monitoring, and market risk modeling. We build these for high-speed processing, comprehensive lineage tracking, and regulatory compliance.

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Customer 360

We specialize in stitching together customer data from apps, web, stores, and third-party sources into a customer data platform. These platforms can power use cases like churn prediction, behavioral segmentation, and personalized customer experiences.

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Supply Chain Analytics

With proven experience in real-time data integration, we help organizations use supply chain data to forecast demand, optimize inventory, and detect anomalies across logistics operations.

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Cloud Data Migration

Our zero-downtime migration approach safely moves your data to modern cloud platforms while keeping your business running smoothly. Through careful planning and automated validation, we ensure your data remains accessible and accurate throughout the transition.

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Health Data Exchange

We have deep experience building interoperable systems that integrate data from EHRs, lab systems, and external providers. These solutions support clinical decision-making, longitudinal patient records, and compliance with healthcare standards like HL7 and FHIR.

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IoT Data Analytics

Our expertise includes designing scalable analytics platforms that process high-velocity data from sensors, machines, and connected devices. Use cases range from predictive maintenance and anomaly detection to energy optimization and real-time operational visibility.

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Faster data ROI with business-driven engineering

Azure Data & AI Solution Partner

As an Azure-recognized data & AI Solution Partner, we leverage our extensive knowledge of Microsoft’s advanced cloud technologies to drive seamless data integration, transformation, and analysis.

Databricks partner

Our partnership with Databricks helps us deliver powerful data pipelines and advanced analytics that accelerate innovation and enable you to harness ML for impactful insights.

Next-gen data engineering

With deep expertise from working with tech and product companies managing massive datasets, we specialize in high-velocity data solutions, moving beyond traditional enterprise platforms.

Integration & streaming data experience

Our rich background in application development allows us to handle complex, real-time data flows for applications that require constant, live updates.

AI/ML readiness

We ensure your data is primed for AI and ML initiatives through automated preparation, cleaning, and feature engineering, supported by our comprehensive MLOps toolkit for efficient model training and deployment.

Expertise in FOSS data toolchain

We leverage cost-efficient, open-source technologies such as Airbyte, DataHub, Dagster, Airflow, Clickhouse, Metabase, and Superset to deliver powerful, scalable, and flexible architectures without breaking your budget.

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