Discover how Narwal streamlined data operations for an American payment processor, overcoming maintenance hurdles, ensuring scalability, and optimizing data availability through a powerful migration to AWS and Snowflake.
Discover how Narwal transformed a global industry leader’s data platform, harmonizing data across systems to enable advanced analytics, improve decision-making, and ensure scalability for 1M+ merchants worldwide.
In the realm of data engineering, where the effective management and utilization of data are paramount, our team stands out. We specialize in offering end-to-end data engineering services that are meticulously crafted to cater to the intricate needs of businesses fostering a data-first culture. From traditional ETL/DWH/BI platforms to cutting-edge data lakes and lakehouses, we deliver solutions that not only meet but exceed industry standards.
Design AI-ready pipelines, warehouses, and lakes that fuel growth and power intelligent decision-making.
Build traditional ETL/DWH/BI platforms that integrate structured data sources, creating dimensionally modeled, consumption-ready data warehouses and data marts.
Develop Batch, Near-Real-Time & Real-Time pipelines and modernize existing data architectures to support AI use cases, including streaming data, orchestration, governance, and data collaboration.
Architect, design, and model next-generation data lakes and lakehouse architectures that support scalable analytics and AI-driven insights.
Start with the end in mind engineer data systems grounded in business goals, structured frameworks, and models that answer “what” and “why.”
Start with the end in mind understand business drivers and objectives, then design a comprehensive data-to-decision pathway.
Define a comprehensive framework to structure vast amounts of information into clear, prioritized requirements.
Integrate, Transform & Data models targeting business queries.
Deliver results with flexible capacity-based, Factory, or outcome-driven models.
Designed to fit your business needs whether scalable, project-based, or long-term partnerships.
Rapid, adaptable, and AI-driven solutions to keep pace with evolving business demands.
To stay ahead in today’s competitive landscape, embracing a data-first culture and modernizing data platforms are essential. Our data modernization services empower businesses to gain operational efficiencies and a competitive edge by deriving actionable insights from their data.
Modernize legacy platforms with cloud-native, scalable architectures that enable agility and unlock AI potential.
Develop data strategies, roadmap definitions, and infrastructure architectures, followed by the implementation of modern cloud data platforms.
Conduct introspection, discovery, and on-prem to cloud data migration from traditional/proprietary databases and appliances to Snowflake and other modern solutions.
From Proof of Concepts (POCs) to full-scale solution implementations, we leverage data science to drive actionable business insights.
Modernize data infrastructure by mapping data value chains, introspecting gaps, and delivering MVPs through data wrangling and visual modeling.
Define a value map across data providers, business consumers, data infrastructure, and organizational goals leading to a comprehensive data programs roadmap.
Assess and align the organization’s data maturity model, conduct detailed due diligence, and identify gaps in the existing data ecosystem.
Problem Statement / Use Case Definition Build MVP—Data Crunching, Wrangling, and Statistical Modeling through Visualization and Predictive Analytics
Ensure seamless execution with end-to-end data modernization strategies.
Tailor modernization efforts with capacity-based, Factory, or AI-powered models.
Scalable solutions built to adapt to rapid technological advancements and business needs.
In today’s marketplace, data is more than just information – it’s a strategic asset that can drive significant business value. Our data monetization services help businesses leverage their data assets to gain a competitive edge and increase their top-line revenue.
Convert data into business value generate insights, launch data products, and build competitive advantage with AI-driven intelligence.
Enable data driven insights for business stakeholders to,
Coverge data modernization and AI, foster creativity & innovation – unlock high value insights into customers, products, and operations
Create Harmonized, Enriched & Ready-to-use data sets purported for downstream integration with internal / external platforms / systems.
Activate hindsight, insight, and foresight strategies to turn data into outcomes measuring, discovering, and optimizing for business growth.
A rear-view approach enabling businesses to: Measure → Decide → Act/Align
A windshield approach enabling businesses to: Explore → Discover → Innovate
Proactive, AI-driven business interventions that: Preempt risks → Optimize operations → Enable timely course corrections
Deliver high-impact, business-driven results with structured monetization strategies.
Offer custom-built, scalable engagement models designed for data commercialization.
Enable real-time insights and adaptive monetization approaches to maximize data value.
In the realm of data engineering, where the effective management and utilization of data are paramount, our team stands out. We specialize in offering end-to-end data engineering services that are meticulously crafted to cater to the intricate needs of businesses fostering a data-first culture. From traditional ETL/DWH/BI platforms to cutting-edge data lakes and lakehouses, we deliver solutions that not only meet but exceed industry standards.
Design AI-ready pipelines, warehouses, and lakes that fuel growth and power intelligent decision-making.
Build traditional ETL/DWH/BI platforms that integrate structured data sources, creating dimensionally modeled, consumption-ready data warehouses and data marts.
Develop Batch, Near-Real-Time & Real-Time pipelines and modernize existing data architectures to support AI use cases, including streaming data, orchestration, governance, and data collaboration.
Architect, design, and model next-generation data lakes and lakehouse architectures that support scalable analytics and AI-driven insights.
Start with the end in mind engineer data systems grounded in business goals, structured frameworks, and models that answer “what” and “why.”
Start with the end in mind understand business drivers and objectives, then design a comprehensive data-to-decision pathway.
Define a comprehensive framework to structure vast amounts of information into clear, prioritized requirements.
Integrate, Transform & Data models targeting business queries.
Deliver results with flexible capacity-based, Factory, or outcome-driven models.
Designed to fit your business needs whether scalable, project-based, or long-term partnerships.
Rapid, adaptable, and AI-driven solutions to keep pace with evolving business demands.
To stay ahead in today’s competitive landscape, embracing a data-first culture and modernizing data platforms are essential. Our data modernization services empower businesses to gain operational efficiencies and a competitive edge by deriving actionable insights from their data.
Modernize legacy platforms with cloud-native, scalable architectures that enable agility and unlock AI potential.
Develop data strategies, roadmap definitions, and infrastructure architectures, followed by the implementation of modern cloud data platforms.
Conduct introspection, discovery, and on-prem to cloud data migration from traditional/proprietary databases and appliances to Snowflake and other modern solutions.
From Proof of Concepts (POCs) to full-scale solution implementations, we leverage data science to drive actionable business insights.
Modernize data infrastructure by mapping data value chains, introspecting gaps, and delivering MVPs through data wrangling and visual modeling.
Define a value map across data providers, business consumers, data infrastructure, and organizational goals leading to a comprehensive data programs roadmap.
Assess and align the organization’s data maturity model, conduct detailed due diligence, and identify gaps in the existing data ecosystem.
Problem Statement / Use Case Definition Build MVP—Data Crunching, Wrangling, and Statistical Modeling through Visualization and Predictive Analytics
Ensure seamless execution with end-to-end data modernization strategies.
Tailor modernization efforts with capacity-based, Factory, or AI-powered models.
Scalable solutions built to adapt to rapid technological advancements and business needs.
In today’s marketplace, data is more than just information – it’s a strategic asset that can drive significant business value. Our data monetization services help businesses leverage their data assets to gain a competitive edge and increase their top-line revenue.
Convert data into business value generate insights, launch data products, and build competitive advantage with AI-driven intelligence.
Enable data driven insights for business stakeholders to,
Coverge data modernization and AI, foster creativity & innovation – unlock high value insights into customers, products, and operations
Create Harmonized, Enriched & Ready-to-use data sets purported for downstream integration with internal / external platforms / systems.
Activate hindsight, insight, and foresight strategies to turn data into outcomes measuring, discovering, and optimizing for business growth.
A rear-view approach enabling businesses to: Measure → Decide → Act/Align
A windshield approach enabling businesses to: Explore → Discover → Innovate
Proactive, AI-driven business interventions that: Preempt risks → Optimize operations → Enable timely course corrections
Deliver high-impact, business-driven results with structured monetization strategies.
Offer custom-built, scalable engagement models designed for data commercialization.
Enable real-time insights and adaptive monetization approaches to maximize data value.
Share your needs and requirements with us, and we’ll craft a tailored solution to simplify your life.
