Services

Big-Data Engineering

Building reliable, scalable data foundations that power analytics and AI.

Meet Our Leaders

We believe data is one of an organization’s most valuable assets but its value is realized only when it’s clean, connected, and accessible.
At DataGrokr, we help clients modernize their data ecosystems from discovery and ingestion to analytics and AI readiness.

Our work spans ingestion, transformation, modelling, and governance enabling seamless analytics, machine learning, and real-time insights.

Power Your Business with Data Services

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Data Discovery & Maturity Assessment

We help organizations assess where they stand in their data journey — evaluating systems, quality, and governance. Our discovery assessments identify data gaps and opportunities, providing a clear roadmap to a unified, analytics-ready foundation.

Data Quality & Standardization

Reliable insights begin with reliable data. We design automated validation and standardization frameworks to ensure consistency, accuracy, and trust across all systems.

Data Ingestion & Integration

We build scalable ingestion pipelines that bring together data from diverse sources — databases, APIs, cloud apps, and IoT systems. Whether batch or streaming, our frameworks ensure data is accessible, fresh, and ready for downstream use.

Data
Modelling

We create unified data models that capture the relationships and entities driving your business. Our models are designed for clarity, performance, and extensibility — forming the foundation for analytics and AI initiatives.

ETL / ELT Frameworks

Our pipelines transform raw data into structured, actionable formats using a mix of ETL and ELT patterns. We leverage modern orchestration tools and metadata-driven logic to make pipelines transparent, maintainable, and efficient.

Cloud
Scalability

We architect cloud-native data platforms that scale seamlessly as your data grows. From compute elasticity to optimized storage, we ensure your data systems remain fast, cost-efficient, and resilient.

Why DataGains

  • Proven architecture expertise: Deep experience building data foundations across AWS, Azure, and GCP.
  • End-to-end delivery: From ingestion to dashboards, we handle every layer of the data stack.
  • Scalable and secure: Designed for performance, governance, and compliance.
  • Future-ready: Built to power advanced analytics and AI initiatives.

Impact & Case Studies

At DataGains, we measure success by the outcomes we deliver — scalable architectures, optimized performance, and tangible business impact. Explore how our solutions have helped clients modernize their data ecosystems
Explore Big Data Case Studies

Snowflake Cost Optimization

We optimized a client’s Snowflake environment using best practices, improving warehouses, storage, and scheduling, delivering over $50K in monthly savings.

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Modern Data Lake on AWS for CBR Sciences

We built a PCI-compliant 45TB data lake for CBR Sciences, ingesting billions of transactions and automating transformation.

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Data warehouse modernization: Teradata to Snowflake migration

We migrated a major US grocery chain from Teradata to Snowflake on Azure, handling large datasets, legacy code conversion..

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Need help building scalable, reliable data pipelines?

Schedule a free no-obligation consultation with our experts to get guidance on your data challenges.
Initial Consultation
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