Data Engineering Services with Databricks and Microsoft Fabric Expertise
Turn your fragmented and raw data into single source of truth with our end-to-end data engineering services. We help businesses overcome scattered systems, delivering analytics ready data architecture services and a unified backbone for clean, actionable insights, powered by Microsoft Fabric, Databricks, Azure Data Factory (ADF), ETL, and ELT.
Common Data Challenges Businesses Face
Scattered Systems
Data sits across ERP, CRM, POS, and custom apps, making enterprise data integration impossible. Fixing data silos becomes an endless, costly loop without data engineering services for fragmented data systems.
Sluggish Pipelines
Pipelines fail, refresh lags, and reports take hours. Without scalable data pipelines for analytics, teams react instead of predict.
No Single Truth
Different teams see different numbers—no alignment, no trust.
Cloud Burn Without Value
Data warehouse modernization and cloud shifts promised savings, but costs rise without insights.
Talent Drain
Top analysts turn into accidental data engineers, fixing scripts and debugging ETL/ELT jobs.
How Logesys Solves It
As a leading data engineering company, we streamline complex ecosystems—from raw ingestion to analytics-ready data architecture services—with governed data platform design for analytics. Our data pipeline engineering optimizes every flow for speed, reliability, and data governance implementation for analytics platforms.
Acquire
Collect raw data reliably from diverse sources into data lake environments.
Process
Clean and transform via scalable Azure ETL, ETL/ELT principles.
Orchestrate
Automate workflows with Azure Data Factory (ADF).
Store
Build data lakehouse, modern data warehouse modernization, and scalable storage.
Govern
Enforce quality and compliance through data governance.
Secure
Add access controls, lineage, and compliance.
Our Core Capabilities
Here’s how we help companies move from fragmented systems to intelligent architecture:
Data Modernization
Drive legacy data warehouse modernization to cloud-ready or hybrid setups that scale.
- Migration from on-prem to Azure, AWS, or GCP
- Microsoft Fabric data engineering services for performance
- Cost-efficient data lakehouse and warehouse frameworks
Data Strategy
Data engineering consultants align roadmaps with outcomes.
- Define KPIs and goals
- Blueprint tech architectures
- Integrate data governance implementation for analytics platforms from day one
Data Pipeline
Build automated, resilient scalable data pipelines for analytics.
- Batch, real-time, event-driven flows
- Cross-platform engineering
- Monitoring, lineage, alerts
Data Governance
Ensure trust with compliant data.
- Metadata catalogs
- Access controls, audits
- End-to-end lineage
Data Enrichment / Market Data Capture
Amplify data with external signals.
- 3rd-party ingestion
- Standardization
- Internal-external integration
Databricks Implementation Partner
As an official Databricks implementation partner, Logesys designs and deploys scalable lakehouse architectures, migrates legacy pipelines, and optimizes Databricks environments for enterprises. Whether you're building from scratch or modernizing existing Spark workloads, our certified experts deliver proven results beyond just tooling.
- Databricks lakehouse implementation and deployment
- Legacy data pipeline migration to Databricks
- Databricks performance optimization and tuning
- Unity Catalog setup for data governance on Databricks
Microsoft Fabric Consulting & Integration Services
As a certified Microsoft partner offering Microsoft Fabric consulting, Logesys guides enterprises through Azure Synapse migrations, data stack consolidation, and unified analytics platforms on Fabric. We manage the complete lifecycle—from OneLake architecture to seamless Power BI integration—for faster insights and cost efficiency.
- Microsoft Fabric implementation and setup
- Azure Synapse to Microsoft Fabric migration
- OneLake data integration and governance
- Fabric + Power BI end-to-end deployment
Business Outcomes We Deliver
Success Snapshot
Real-Time Olympic Broadcast Analysis
For a global broadcast giant, our end-to-end data engineering services transformed weeks of manual Olympic data analysis into real-time automation. Using Azure Data Factory (ADF) and Databricks, we built scalable data pipelines for analytics processing thousands of channels, eliminating duplicates and standardizing data on the fly. Reports now deliver in minutes, not weeks.
Frequently Asked Questions
Data Engineering involves collecting, cleaning, and structuring data so your business can generate accurate insights, improve decision-making, and drive growth efficiently.
By automating data pipelines, centralizing data, and ensuring real-time reporting, your teams spend less time on manual work and more on strategic business decisions.
Yes! Data Engineering solutions integrate with your current systems, whether on-premise or in the cloud, creating a seamless, unified data environment.
With optimized pipelines and clean, structured data delivered through modern data engineering services, businesses often start seeing actionable insights within weeks—not months—improving agility and decision-making.
Logesys provides comprehensive data engineering services like Databricks consulting services from our official Databricks partner status, data pipeline development services, and ETL ELT consulting. As an Azure data engineering company with services in UAE, Dubai we specialize in data lakehouse implementation, Microsoft Fabric consulting, lake house architecture, data engineering for retail, manufacturing, supply chain, life science and beyond.
How much does data engineering cost?
Logesys data engineering costs vary by scope—such as data pipeline consulting—but we as ETL consulting services offer transparent, competitive pricing (often 20-30% below market). Get a free quote tailored to your enterprise needs. Contact us!
ETL (Extract, Transform, Load) processes data before storage, ideal for structured sources, while ELT (Extract, Load, Transform) handles raw data in the cloud for flexibility. Our ETL ELT consulting helps enterprises pick the best approach with tools like Azure Data Factory, Microsoft Fabric or Databricks.
Logesys, as a Databricks consulting firm, guides on-prem to cloud migrations through assessment, secure data transfer, and optimization. As your data pipeline consulting partner, we minimize downtime and ensure compliance for UAE Dubai enterprises, USA and India.
Logesys data pipeline development services typically wrap in 4-12 weeks, often faster via lakehouse architecture and streamlined planning. We adapt timelines to your data volume and needs for fast ROI.
