Data Engineering & Architecture

Expert Data Engineering Services & Architecture

Numlytics delivers production-grade data engineering services to enterprises across the US, UK, Australia & UAE. We design and build scalable ETL/ELT pipelines, data warehouse solutions, lakehouse architectures, real-time streaming platforms, and data quality frameworks - delivered by certified offshore data engineering teams at 50% lower cost.

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Certified Azure, Fabric & Databricks data engineers
Production-ready pipelines, not prototypes
First pipeline delivered within 2–3 weeks
Up to 50% lower cost vs US/UK engineering firms
Typical Delivery Outcomes
2wk
First production pipeline
delivered in 2 weeks
70%
Average reduction in
pipeline failure rate
10×
Faster query performance
after warehouse optimisation
50+
Enterprise data engineering
engagements delivered
We specialise in ETL Pipeline Development ELT Pipeline Engineering Data Warehouse Design Lakehouse Architecture Real-Time Data Streaming Data Quality Management Azure Data Factory dbt & Apache Spark Microsoft Fabric Pipelines Offshore Data Engineering
What We Cover

Data Engineering Services Built for Production

Most organisations don't have a data shortage, they have a data engineering shortage. Raw data sits in source systems, dashboards lag by days, and analysts spend 80% of their time cleaning data instead of generating insight. Our data engineering services fix that by building the infrastructure layer your analytics team needs to be effective.

From ETL/ELT pipeline development> on Azure Data Factory and Microsoft Fabric to data warehouse modernisation, lakehouse architecture on Databricks and Snowflake, and real-time streaming on Apache Kafka - Numlytics delivers production-grade data engineering at up to 50% lower cost than US or UK engineering firms, with the same quality standards.

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Common Client Challenges
"Our pipelines break every other day"
Fragile, undocumented ETL jobs built years ago by engineers who have since left, a single source change takes the whole pipeline down.
"Our data warehouse is a mess"
No consistent schema, conflicting table names, undocumented transformations, and query performance so poor that reports take minutes to load.
"We're always working with stale data"
Daily batch jobs that complete at 4am - by 9am the business has already moved. No real-time visibility into operations that matter most.
"Nobody trusts the numbers"
Data quality issues that slip through into dashboards. Executives making decisions based on numbers their analysts know are wrong, but can't prove it.
Sub-Services

Five Data Engineering Service Areas

Each can be engaged as a standalone project or as part of a full data engineering programme. Most clients start with pipeline development or warehouse modernisation.

01 · $28–52 CPC · High Priority

ETL Pipeline Development

We design, build, and deploy production-grade ETL and ELT pipelines on Azure Data Factory, Microsoft Fabric Data Factory, Apache Spark, and dbt - with full monitoring, alerting, and automated recovery built in from day one.

  • ETL/ELT pipeline design & architecture
  • Azure Data Factory & Fabric pipeline builds
  • dbt transformation layer development
  • Pipeline monitoring, alerting & SLA management
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02 · Low Difficulty · $22–40 CPC

Data Warehouse Consulting

We modernise legacy data warehouses and design net-new cloud warehouse architectures on Snowflake, Azure Synapse, Google BigQuery, and Amazon Redshift - optimised for query performance and analytics team productivity.

  • Data warehouse design & schema modelling
  • Legacy DW migration to cloud platforms
  • Dimensional modelling & star schema design
  • Query performance optimisation
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03 · Low Difficulty · $18–36 CPC

Data Lakehouse Architecture

We design and implement lakehouse architectures using Microsoft Fabric OneLake, Databricks, and Delta Lake - combining the scalability of a data lake with the structure and governance of a data warehouse.

  • Medallion architecture design (Bronze/Silver/Gold)
  • Microsoft Fabric OneLake & Databricks lakehouse
  • Delta Lake & Apache Iceberg implementation
  • Data governance & access control setup
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04 · Growing Demand · $22–40 CPC

Real-Time Data Streaming

We build real-time data streaming architectures using Apache Kafka, Azure Event Hubs, Microsoft Fabric Real-Time Analytics, and Databricks Structured Streaming - enabling operational analytics, live dashboards, and event-driven data products for time-sensitive business decisions.

  • Apache Kafka & Azure Event Hubs pipelines
  • Fabric Real-Time Analytics & KQL databases
  • Stream processing with Spark Structured Streaming
  • Real-time dashboard integration with Power BI
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05 · High ROI · Frequently Requested

Data Quality Management

We implement automated data quality management frameworks that detect, report, and resolve data issues before they reach your dashboards. Built on Great Expectations, dbt tests, Microsoft Purview, and custom validation layers, so your executives can trust every number they see.

  • Data quality rules design & implementation
  • Automated validation with Great Expectations & dbt tests
  • Data observability dashboards & alerting
  • Data lineage tracking & impact analysis
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Our Approach

How We Deliver Your Data Engineering Project

Our data engineering services follow a structured 4-phase delivery model - designed for offshore precision with full transparency at every stage. You always know what's being built, when, and why.

01
Discovery & Architecture Design

We audit your existing data sources, systems, and requirements. We design the target architecture, select the right tools, and define a phased delivery plan before writing a single line of code.

⏱ Week 1
02
Foundation & First Pipeline

We set up your data infrastructure, configure environments, establish coding standards, and deliver the first production pipeline - typically within 2 weeks of kickoff.

⏱ Weeks 1–2
03
Sprint Delivery & Iteration

Agile, sprint-based delivery with daily standups and weekly demos. Each sprint adds pipelines, transformations, or features, with full test coverage and documentation.

⏱ Ongoing Sprints
04
Handover & Ongoing Support

We document every pipeline, transfer knowledge to your team, and provide ongoing support, either through a managed service SLA or ad-hoc engagement.

⏱ Post-Delivery
Why Numlytics

Why Choose Numlytics for Data Engineering Services

We're not a generalist IT firm that also does data. Every Numlytics consultant is a specialist data engineering practitioner, certified on the platforms they build with, and experienced across 50+ production deployments.

Production-First Engineering
We don't build demos or PoCs that can't scale. Every pipeline we deliver is production-ready - with monitoring, error handling, retry logic, and SLA alerting built in from day one.
Certified Platform Specialists
Microsoft Fabric, Azure Data Factory, Databricks, and Snowflake - every engineer holds current platform certifications. No generalists working from documentation.
First Pipeline in 2 Weeks
We don't spend months in design before delivering. Our discovery-to-first-pipeline timeline is 2 weeks, so you see working output before the month is out.
50% Lower Cost
Certified offshore data engineering team from India, working in your timezone - same quality as US or UK engineering firms at up to 50% lower cost.
Full Documentation & Handover
Every pipeline, transformation, and data model we build is fully documented. Your internal team can maintain, extend, and understand everything we deliver.
Rated 5.0 on Clutch & Guru
50+ enterprise clients across US, UK, and Australia. Zero unresolved disputes. Consistently rated 5.0 on both Clutch and Guru, independently verified.
★★★★★

"Numlytics rebuilt our entire data engineering infrastructure in 8 weeks. We went from daily pipeline failures and stale dashboards to a fully automated, monitored ETL layer on Microsoft Fabric. The team was embedded in our Azure DevOps from week one - communication was excellent and every sprint delivered something tangible."

RK
Richard K.
VP of Engineering · SaaS Platform, United States

Each sub-service can be engaged as a standalone project or as part of a full data engineering programme.

ETL Pipeline Development
1,300–2,900 searches/mo · $28–52 CPC · High Priority
→
Data Warehouse Consulting
880–1,600 searches/mo · Low difficulty · $22–40 CPC
→
Data Lakehouse Architecture
480–1,100 searches/mo · Low difficulty · $18–36 CPC
→
Real-Time Data Streaming
Growing demand · Kafka, Fabric, Event Hubs
→
Data Quality Management
High ROI · dbt tests, Great Expectations, Purview
→
Microsoft Fabric Migration ↗
Often paired with data engineering engagements
→
FAQ

Data Engineering Services FAQs

Common questions from US, UK & Australian clients before starting a data engineering engagement with Numlytics.

Ask Us Anything →
Numlytics offers five core data engineering services: ETL/ELT pipeline development, data warehouse consulting, data lakehouse architecture, real-time data streaming, and data quality management - all delivered by certified offshore data engineers at up to 50% lower cost than US or UK firms.
Numlytics typically delivers the first production-ready pipeline within 2 weeks of project kickoff. Complex multi-source pipelines may take 4–6 weeks. Our discovery-to-first-delivery timeline is significantly faster than most onshore data engineering firms.
Our data engineering team is certified on Microsoft Fabric, Azure Data Factory, Databricks, Snowflake, Apache Spark, dbt, Apache Kafka, and Google BigQuery. We work across the full modern data stack, no platform lock-in, no preferred-vendor bias.
Yes. Numlytics delivers data warehouse migration to Snowflake, Azure Synapse, Google BigQuery, and Microsoft Fabric. Our migrations include schema redesign, full data validation, performance optimisation, and a parallel-run period to ensure zero data loss.
Yes. We offer ongoing support through dedicated offshore data engineering teams, staff augmentation, and managed analytics services - all with SLA-backed delivery and transparent sprint reporting.
Ready to Start?

Build Your Data Engineering Foundation Today

Talk to a certified data engineering consultant. We'll review your current pipelines, infrastructure, and requirements - then deliver a scoped proposal within 24 hours. Serving enterprises in US, UK, Australia & UAE.

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