Data Engineering & Analytics
Data Engineering & Analytics Services
Reliable data pipelines, warehouses and dashboards that give your teams one trusted version of the truth, and give your AI projects clean data to work with.
- Pipelines and warehouses
- Power BI dashboards
- AI-ready data
What we offer
Data Engineering & Analytics services
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Data Pipelines
Automated ETL/ELT from all your sources.
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Warehouses & Lakehouses
Snowflake, BigQuery, Fabric or Databricks.
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BI & Dashboards
Power BI and other tools on trusted data.
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Data Quality & Governance
Validation, lineage and access control.
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Real-Time Data
Streaming pipelines for live dashboards.
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AI-Ready Data
Prepared data for ML and RAG projects.
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How we deliver AI
From idea to production AI
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Use-case discovery
We map where AI saves time or earns revenue, and agree how success is measured.
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Data readiness
We review your data sources, access rules and privacy requirements.
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Proof of concept
A working prototype on your real data, tested by your team.
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Evaluation
Quality, safety and cost are measured against an agreed test set.
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Production rollout
Secure integration with your apps, logins and workflows, with monitoring.
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Improve & scale
Feedback loops, new use cases and cost optimisation as usage grows.
Technologies
Tools and technologies we use
Platforms
- Microsoft Fabric
- Snowflake
- BigQuery
- Databricks
Pipelines
- dbt
- Azure Data Factory
- Airflow
BI
- Power BI
- Looker
- Metabase
Related
Related services
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AI Consulting & Strategy
Find where AI pays off, then plan it.
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AI Integration Services
Plug AI into your apps, CRM and ERP.
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AI Workflow Automation
Automate repetitive work end to end.
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AI PoC & MVP
Test an AI idea on your own data first.
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Copilot for Dynamics 365
AI inside your Microsoft business apps.
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Client reviews
What clients say about working with us
Verified reviews from founders and CTOs on Clutch.
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Custom Software Development
Web-Based Coupon App Development
The work produced by the team was of exceptional quality.
Jon Thies
CTO, Model Rocket Feb 2022 – Mar 2023
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Custom Software Development
Mobile & Web Platform Development & Design
Silver Scintilla was responsive, respectful, and enjoyable to work with, quickly addressing any questions or requests.
DeShawn Brown
CEO & Founder, Lithios Jun 2021 – Nov 2022
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Custom Software Development
Web-Based HRM System Development
Silver Scintilla provided the best solution with scalable functionality, personalized features, and robust security.
Suheb Khan
Director, Collaborative Insight Technologies Jul 2020 – Jun 2022
FAQ
Data Engineering & Analytics: frequently asked questions
Straight answers to what clients ask us most.
Need advice for your project?
Every product is different. Talk to a senior engineer about your tech stack, timeline and team, and get honest advice on your next step.
Talk to an ExpertWhat is data engineering?
Building the systems that collect, clean, store and deliver data so it can be used for reporting, analytics and AI.
Which data platform should we use?
Microsoft-centric companies often choose Fabric; others Snowflake, BigQuery or Databricks. We recommend based on your needs.
Can you build Power BI dashboards?
Yes, on a well-modelled data foundation so numbers are consistent.
Do we need data engineering before AI?
Often yes. Clean, connected data makes AI projects faster and more accurate.
Free discovery call
Have an idea? Let's turn it into AI-powered software.
Book a free discovery call with our experts. Share your idea and we will help you shape the scope, timeline and budget, under NDA.
- Free consultation
- NDA before we talk
- Transparent estimate