End-to-end cloud strategy, data engineering, and analytics — from multi-cloud architecture to real-time pipelines and AI-ready infrastructure. Built to migrate, modernize, and deliver measurable outcomes.
Disconnected systems, ungoverned data lakes, and ad-hoc cloud migrations create complexity without clarity. We architect the full stack — from ingestion to insight — with precision and purpose.
From cloud foundation to real-time intelligence — modular services that compose into a complete enterprise data platform.
Assess your estate, design the target architecture, and execute zero-downtime migrations to AWS, Azure, or GCP — with governance and cost guardrails built in.
Design and operate batch and streaming data pipelines — Kafka, Spark, dbt, Airflow — connecting every source to a clean, reliable data layer your teams can trust.
Turn raw data into executive-grade dashboards and self-service analytics. We build semantic layers, data models, and embedded BI that make insight accessible to everyone.
Build the data and compute infrastructure that modern AI demands — feature stores, model registries, training pipelines, and production serving with full observability.
Design and implement a modern data lakehouse on Delta Lake, Apache Iceberg, or Snowflake — unified storage, open formats, ACID transactions, and zero data silos.
Implement end-to-end data cataloguing, lineage tracking, access control, and regulatory compliance — so every data asset is discoverable, trusted, and protected.
A four-layer architecture that handles any data shape, velocity, or volume — structured for governance without slowing delivery.
We de-risk cloud migrations with a proven 5-step framework: assess, design, migrate, validate, optimise. No lift-and-shift shortcuts — every workload is right-sized and cost-governed from day one.
We select the right tools for your workload — not our partnerships. Certified engineers across every major platform.
Whether you need a rapid cloud assessment, a full data platform build, or embedded engineers in your team — we adapt to your context.
A rapid 4-week workload inventory, architecture review, and cost-optimisation roadmap.
4 weeksWave-based migration with our factory model — parallel run, validate, cutover.
8–16 weeksEnd-to-end lakehouse or warehouse design, pipeline engineering, and BI layer delivery.
12–24 weeksSenior cloud and data engineers placed directly in your team — on-demand capacity.
OngoingFrom cloud migration to real-time analytics — nehlum engineers your full data stack. No guesswork. No vendor lock-in.
Capabilities, product ecosystem, certifications, and global delivery — distilled into a single, share-ready PDF.