Complete Data Engineering Consulting Services & Solutions.

Building a Trusted, Scalable Foundation for Data-Driven and AI-Driven Decisions

Modern analytics, AI, and digital transformation depend on reliable, well-engineered data foundations. Nallas Data Engineering services help organizations integrate, transform, govern, and scale data platforms that power analytics, AI initiatives, and enterprise decision-making.

Data Engineering Services at Nallas

Cloud-Native Architectures

At Nallas we build scalable, cloud-native data platforms using microservices, ETL, and serverless services like AWS Lambda and Azure Functions. Our data mesh approach enables domain ownership while supporting hybrid setups with Databricks for high-performance analytics and Snowflake for modern warehousing.
The result: faster migrations, up to 30% lower costs, and modernized historical data without losing existing functionality.

Real-Time Streaming

Real-time data ingestion, handling IoT and event-driven apps with low latency to integrate into lake houses for operational analytics, addressing unstructured data from apps or sensors. Zero-ETL and open lakehouse formats like Delta Lake ensure interoperability for AI-ready pipelines. We help organizations act on data the moment it’s created.
Our real-time streaming solutions power IoT and event-driven use cases with instant insights, feeding live data into modern analytics platforms. By using open, zero-ETL architectures, we reduce complexity, improve interoperability, and ensure your data is always ready for AI and advanced analytics.

AI-Embedded Pipelines

At Nallas, our AI-powered data engineering services help organizations turn complex data operations into a competitive advantage. By automating data cleansing, handling schema changes seamlessly, and optimizing ETL pipelines, we reduce manual effort and accelerate delivery.
Clients across industries benefit from intelligent resource management and always-on pipelines, enhanced by generative AI for faster metadata discovery and smarter orchestration. Our consulting approach embeds AI-driven quality checks and real-time anomaly detection directly into data workflows, ensuring trusted insights, improved performance, and uninterrupted business operations.

Data Governance Solutions

Data governance solutions in data engineering ensure data quality, compliance, and usability via frameworks and tools such as Databricks Unity Catalog. Core components include stewardship, metadata management, quality validation, and policy enforcement with access controls. Implementation involves defining objectives, forming councils, drafting policies, deploying catalogs, and measuring metrics like pipeline health.

Databricks Consulting Services

Transform Data into Intelligence with Nallas + Databricks offerings

Data Strategy, Advisory & Platform Implementation - Modern Databricks architecture, optimized pipelines, and secure cloud/hybrid deployments.
AI, ML & GenAI Innovation on Databricks - Advanced predictive models, intelligent automation, and enterprise-wide insight solutions.
End-to-End Management & Optimization - Databricks integration, managed services, and FinOps-driven cost governance for continuous performance and value.

Use Cases

Insurance

We enable insurers to unify policy, claims, and telematics data into a trusted data foundation that supports AI-driven underwriting and fraud prevention. Real-time analytics accelerates claims decisions while improving loss ratios. Advanced data insights also enable personalized products that strengthen customer loyalty.

Financial

We help financial institutions consolidate transaction, risk, and customer data into scalable lakehouse platforms that support real-time risk management and regulatory compliance. Continuous data streams power proactive fraud detection and faster decision-making. Unified customer intelligence enables personalized banking and investment experiences at scale.

Manufacturing

Our data engineering capabilities enable predictive maintenance and operational intelligence by integrating IoT, production, and supply chain data. Manufacturers gain early visibility into equipment risks, quality issues, and demand fluctuations. This results in reduced downtime, improved yield, and more resilient operations.

Retail & Consumer Goods

We bring together sales, inventory, customer, and supply chain data to deliver real-time visibility across retail operations. Advanced data platforms enable accurate demand forecasting, inventory optimization, and dynamic pricing. Retailers improve margins while delivering more consistent and personalized customer experiences.

Telecom

We help telecom providers modernize data platforms to support real-time analytics, regulatory compliance, and 5G-scale operations. Integrated data pipelines enable proactive network optimization, outage prediction, and customer retention insights. This data-driven foundation improves service reliability while reducing operational risk.

Value Proposition

Unified Data Integration

Seamlessly ingest and consolidate data from diverse systems like CRM, ERP, IoT, APIs, and legacy sources into a single, reliable data backbone for your enterprise.

Transformations & Data Pipelines at Scale

Build robust ETL/ELT pipelines that clean, enrich, and standardize data in real time, powering downstream analytics and decision-making at any scale.

Advanced Analytics Acceleration

Enable faster insights with optimized data models, curated semantic layers, and analytics-ready datasets for BI, AI/ML, and predictive use cases.

Data Quality, Security & Governance

Ensure trusted, compliant data with automated quality checks, lineage, access controls, cataloguing, and governance frameworks aligned with enterprise standards.

Modern Data Architecture & Cloud Migration

Design and implement modern data stacks like lakehouse, warehouse, streaming architectures and migrate legacy workloads to cloud-native, cost-efficient platforms.

Operational Efficiency & Automation

Automate manual data operations with self-healing pipelines, metadata-driven orchestration, and monitoring systems that minimize downtime and maximize productivity.

Our Approach

A structured, data-driven, and scalable approach to enabling analytics and AI across the enterprise.

Data Readiness Assessment

Evaluate data sources, architectures, and governance maturity

Modern Data Engineering

Build scalable pipelines and cloud-native data platforms

Analytics & AI Enablement

Optimize data for BI, advanced analytics, and AI workloads

Scalable Data Operations

Implement governance, monitoring, and optimization for long-term sustainability

Our Achievements

Reduction in data processing costs

> 0 %

Uptime and Faster Performance

0 %

Operational Agility & Scalability

0 x

Future-Ready
Digital Core

0 %

Resources

Explore our Resources for insights, tools, and innovation that drive digital transformation. From blogs and case studies to white papers and hackathons, find everything you need to stay ahead. Learn, build, and grow with Nallas.