Meet our Team: Data Platform & Business Intelligence

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Elitmind's Data Platform & Business Intelligence team - led by Adrian Kukiełka - is a group of 70+ specialists operating across the full data and analytics stack. We work with organizations that are serious about making data a competitive asset, not a liability.

We have deep expertise in Microsoft Fabric, Databricks, and Snowflake, and we are platform-agnostic: we recommend what fits your strategy and delivers ROI, not what we prefer to work with. Our Microsoft Azure foundation gives us access to the full cloud data ecosystem: Data Factory, Purview, Data Lake Storage, Stream Analytics, Cosmos DB, Azure OpenAI, and more.

As a certified Microsoft partner, Databricks Alliance partner, and member of the Snowflake Partnership Program, we have early access to features, direct engineering support, and co-innovation opportunities that directly benefit our clients.

We deliver end-to-end - from data estate assessment and architecture design, through pipeline engineering and platform migration, to self-service BI and ongoing governance. Our cross-industry track record spans financial services, energy, retail, and government sectors.

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Is your data holding your business back?

Manual compliance reports taking 2–3 days. Cloud costs spiraling with no clear ROI. Dashboards that nobody trusts because the data is wrong. Fragmented systems that can't talk to each other.

These are not IT problems. These are business problems, and they compound every quarter you wait.

Here's what solving them looks like in practice.

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Real Projects. Measurable Results.

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Financial Sector: From Manual Chaos to Real-Time Decisions

The situation: A major financial institution was spending 2–3 days on manual compliance reporting. Data accuracy issues were triggering regulatory concerns. Fragmented systems meant trading decisions were made on 24-hour-old data.

What we built: A comprehensive Azure + Databricks data platform with automated compliance pipelines, real-time analytics, and enterprise-grade security - including ISO 27001 certification and full Entra ID integration.

The outcome:

• 95% improvement in data accuracy

• 100% automated compliance reporting

• Real-time trading decisions - down from 24-hour delays

• 99.99% uptime for mission-critical operations

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Multi-Cloud Migration: 15TB Moved. Zero Downtime.

The situation: A legacy on-premises data warehouse with ballooning hardware costs, slow queries, minimal disaster recovery, and 80% of the team's time eaten by manual maintenance.

What we built: A zero-downtime migration to a hybrid Azure-Snowflake architecture - 15TB of data, 200+ tables, full business continuity maintained throughout.

The outcome:

• 60% reduction in operational costs

• 40% faster query execution

• 80% elimination of manual maintenance tasks

• 99.99% uptime SLA with multi-region disaster recovery

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Fintech: Risk Analysis in 15 Minutes Instead of 48 Hours

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The situation: A financial institution needed faster risk analysis - 24 to 48 hours was commercially unacceptable. Infrastructure costs were high and ML capabilities for portfolio optimization were limited.

What we built: A Lakehouse architecture with Feature Store on Azure using Databricks Unity Catalog, purpose-built for high-frequency risk workloads.

The outcome:

• 85% faster risk analysis (48 hours → 15 minutes)

• 40% reduction in infrastructure costs

• 25% improvement in portfolio performance through ML optimization

• 99.99% regulatory compliance with automated audit trails

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Microsoft Fabric Pioneer: One Platform Instead of Eight Tools

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The situation: A fragmented data ecosystem built on 8 separate tools. Data silos blocking cross-functional insight. Processing jobs running in hours. Infrastructure complexity consuming the team.

What we built: Microsoft Fabric unified analytics platform with OneLake, AI Copilot integration, and seamless Power BI - consolidating the entire data estate into one governed environment.

The outcome:

• 45% reduction in data processing time

• 35% reduction in storage costs

• 30% decrease in infrastructure costs

• 25% increase in cross-sell opportunities through real-time insights

• 200+ business users enabled with self-service analytics

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Data Strategy: Middle East Real Estate

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‍The situation: A real estate company needed a comprehensive assessment of their data estate - understanding the current landscape, identifying gaps, and defining a future-state architecture aligned with business goals.

What we delivered:

• Full assessment of business objectives, data processing, infrastructure, security, and compliance

• Data Strategy and Roadmap

• Migration and Modernization Plan

• Operational Improvement Plan

• Line-of-Business discovery for two priority departments

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Following the strategy phase, we deployed a fully operational Databricks Data Lakehouse - covering DataOps, DevOps/CICD requirements, and the Azure Well-Architected Framework. We are currently supporting two business units through IDP integration.

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What Makes Our Work Extraordinary

Numbers tell part of the story. But the texture of daily work is what makes this team different.

"A typical day involves everything from morning stand-ups and development tasks to client workshops and knowledge-sharing sessions," says Adrian Kukiełka, Head of Data Platform & BI. "From troubleshooting complex data pipelines to presenting insights that reshape business strategy, every day brings new ideas and opportunities to create impact."

That combination: deep technical craft paired with genuine business engagement, is what our clients feel in every interaction, and what makes our team an environment where serious data professionals want to build their careers.

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What a Typical Engagement Looks Like

We operate across the complete delivery lifecycle, from initial data estate assessment and architecture design, through pipeline engineering and platform migration, to self-service BI enablement and ongoing governance.

Our team structure reflects this:

• Solution Architects design scalable, secure data architectures built for the long term

• Data Engineers build and optimize pipelines that move data reliably from source to insight

• BI Consultants turn complex data into actionable intelligence for business decision-makers

• Lead Consultants and Team Leaders ensure delivery quality across multi-workstream engagements

• Technical Area Leaders maintain deep expertise in specific platforms and guide our technical direction

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Our Frameworks

We don't reinvent the wheel on every project. Our delivery is grounded in:

• Data Mesh Architecture: scalable, decentralized data ownership with centralized governance

• DataOps Methodologies: DevOps discipline applied to data engineering for reliable, repeatable delivery

• Modern Data Warehouse Design: patterns optimized for current needs and future scale across hybrid and multi-cloud environments

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Let's Talk About Your Data

If any of the challenges above sound familiar: fragmented systems, rising cloud costs, reports that take days, compliance exposure, or analytics teams buried in data preparation - we should speak.

Reach out to Adrian directly to discuss what a transformation could look like for your organization.

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• 99.99% uptime track record  

• Zero-downtime migrations  

• 40–60% cost reduction delivered

• End-to-end delivery: from strategy to implementation to managed services  

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