Build a strong, scalable, and secure data foundation

Whether you're a brand, retailer, or marketplace, our data engineering services help you modernize legacy systems, integrate fragmented data, and streamline pipelines for faster, insight-driven decisions.

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What We Offer

  • Data Pipeline Development

  • Cloud Migration & Modernization (Azure, AWS, Snowflake)

  • Enterprise Data Integration

  • Lakehouse & Data Warehouse Architecture
  • Data Governance & Metadata Management

  • Data Quality & Security Automation

  • MLOps Enablement (Azure ML, Databricks, MLflow)

What We Deliver

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Pipeline Development & Orchestration

  • Design & maintenance of data pipelines (Azure ADF, Event Hub, Databricks)
  • Orchestration of batch + real-time data across raw to gold layers
  • CI/CD-enabled deployment and auto-healing systems with Azure DevOps
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Cloud Modernization & Migration

  • Legacy system migration (e.g., Netezza → SQL Server, On-prem → Azure)
  • Re-platforming with Lakehouse & Delta architecture for scale and cost-efficiency
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Integration & Interoperability

  • Ingestion from APIs, FTPs, DMS, and third-party apps
  • Seamless flow from ingestion to BI and ML layers
  • Unified metadata, cataloging, and business glossaries
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Governance & Security

  • Role-based access control via AAD
  • Data lineage and compliance through Azure Purview
  • Secure secrets management via Azure Key Vault
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Platform Management & Optimization

  • Platform health monitoring and tuning
  • Synapse query optimization and cost control
  • SLA-based support for ingestion, transformations, and model deployment
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MLOps Enablement

  • ML model deployment via Azure ML & MLflow
  • Model versioning, drift monitoring, and performance dashboards
  • Batch and real-time inference integration

Our Architecture in Action

A modern data engineering stack built on Azure-native technologies—fully aligned with enterprise-scale data operations and analytics.

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Our Delivery Framework

Proven execution. Transparent governance. Scalable support.


We deploy dedicated DataOps teams and follow an integrated approach that includes:

  • Planning → Transition → Steady-State Operations
  • SOPs, playbooks, runbooks, and change control processes
  • Agile-based governance and stakeholder cadence
  • SLA/KPI dashboards, incident management, and release tracking
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Why Clients Choose Us

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Unified ingestion across marketing, sales, and ops platforms

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SLA-driven platform support, 24x7 monitoring

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Deep Azure-native engineering expertise (ADF, Synapse, Databricks)

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Enterprise-grade access control and governance (AAD, Purview)

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30–40% efficiency gains post migration and tuning

Let’s build your modern data backbone

From seamless cloud migration to intelligent pipelines and ML-ready architecture—our data engineering services help tech leaders unlock trusted, insight-ready data at scale.

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Case Study

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Case Study

How a unified Azure data lake reduced operating costs by 25% for a global CPG leader

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Case Study

How real-time data processing on AWS improved scalability for a retail conglomerate

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Case Study

How a modern lakehouse architecture reduced data processing time for a fashion retailer

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