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Bitsquad

Data Engineering

Transform Data for AI

Engineering reliable data pipelines to power analytics and AI

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Data Engineering for Analytics and AI-Driven Enterprises

Data engineering is about building a foundation for reliable analytics and AI. Bitsquad helps you:

Consolidate data

Consolidate data from multiple sources

Ensure accuracy

Ensure data accuracy and consistency

Build data pipelines

Build production-grade data pipelines

Reduce manual handling

Reduce dependency on manual data handling

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The Microsoft Fabric Data Platform has transformed our reporting and analytics. We no longer face ERP refresh limitations and now have real-time insights across systems. This foundation positions us to leverage AI and advanced analytics for future community impact.

Kerry Bird, One Foundation

Data Engineering Challenges

The most common data infrastructure challenges that organizations face include:

  • Data Silos and Integration Complexity

    Disconnected systems that require constant manual intervention for data integration. This means - different teams are likely working from different versions of the truth.

  • Quality and Reliability

    Inconsistent and/or incomplete data impacts decision-making. Analysts often end up spending 60 to 80% of their time just on data preparation that they can use for analysis.

  • Inability to Scale

    Legacy infrastructure begins to crack when data volumes grow rapidly. This becomes a major roadblock in the adoption of AI and advanced analytics.

  • Delayed Time-to-Insight

    Data related issues naturally result in significant delays. This impacts the ability of the business to leverage opportunities and becomes a competitive disadvantage.

Our Data Engineering Services

Enterprise Data Ingestion & Integration

We help organizations with secure and automated ingestion of data from diverse organizational data sources - ERP, CRM, SaaS platforms, databases, files, APIs, and event streams - into a unified data environment.

Microsoft Fabric Data Pipelines Azure Data Factory Fabric Event Streams & native connectors
Business Impact
  • Quicker onboarding of new data sources
  • Reduced manual data movement
  • Consistent and repeatable ingestion processes

Data Transformation & Business Modeling

We transform raw data into structured business-ready datasets. They are aligned to reporting, analytics, and AI needs, so the business is working from a single reliable version of the truth.

Fabric Lakehouse SQL and Spark workloads
Business Impact
  • Consistent KPIs and metrics
  • Reduced reconciliation and reporting errors
  • Data business leaders and AI can rely on

Batch & Real-Time Data Processing

We design and implement scheduled batch pipelines and real-time streaming pipelines based on business responsiveness requirements.

Fabric Real-Time Analytics Event Streams Azure Event Hubs
Business Impact
  • Near real-time operational visibility
  • Faster response to business events
  • Support for event-driven use cases

Data Pipeline Orchestration & Reliability

We enable orchestration, monitoring, alerting, and recovery mechanisms. This ensures that data pipelines run reliably.

Fabric Pipeline Orchestration Azure Monitoring and Logging
Business Impact
  • Reduced data delays and broken dashboards
  • Faster issue detection and resolution
  • Lower operational and compliance risk
AI Readiness Assessment

Is Your Data Ready For AI Success?

Take the self-assessment to see your data maturity score and uncover how close your organization is to being AI-ready

Access Report

How Data Engineering Enables Analytics & AI

Bitsquad data engineering services form the foundation for:

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Enterprise Power BI analytics

02

Predictive and generative AI solutions

03

AI agents and copilots

04

Embedded analytics in business applications

Industries We Support

Manufacturing & Supply Chain

ERP and IoT data pipelines bring production and supply chain analytics together. This gives teams visibility into integrated operations like - what is running, what is delayed, which machines are at risk. This can create a foundation for predictive maintenance.

Retail & Distribution

Sales, inventory, and pricing data pipelines provide near real-time demand visibility - across stores and channels. It enables unified channel analytics to show what is selling, what is running out, and what actions are needed to prevent revenue leaks.

Financial Services

Financial and transaction data consolidation brings all critical numbers into one place. This creates a traceable pipeline which is audit-ready and can be relied upon by finance and operations. This becomes the basis for Risk and Performance analytics.

Professional Services

Project, billing, and utilization data pipelines feed unified operational and financial reporting. This enables building an understanding of the project and the business. Project status, how much is being invested, what is being billed, and where margins or capacity are becoming a cause of concern.

Engineering with Governance & Control

Data Engineering requires built in processes and technology for quality, security, and governance. Our pipelines include:

Validation and quality checks at every stage

End-to-end traceability

Secure, role-based access

Alignment with enterprise governance frameworks

Why Bitsquad

Enterprise Systems Expertise

Enterprise Systems Expertise

  • ~ 25 years background in providing Dynamics 365 ERP and CRM systems
  • Deep understanding of several industries - manufacturing, professional services, retail & distribution, banking & financial services, EPC, Travel and Education
  • Experience integrating legacy systems, and also modernizing legacy applications
Microsoft Platform Expertise

Microsoft Platform Expertise

  • Providing solutions on the full Microsoft stack – AI Business Solutions, Cloud & Data Platforms, Security
  • Dedicated Data engineering team - Azure Data Engineer, Fabric Analytics Engineer, Solutions Architect
  • Experienced on Fabric - Microsoft's unified data platform
Integrated Capability

Integrated Capability

  • Seamless alignment between data engineering, analytics, and AI
  • End-to-end delivery from strategy to operations
  • Integration with Power BI, Azure ML, and business application
  • Ongoing managed services and support options

Get Started

Not every organization needs the same starting point. Some need clarity while others might want speed! We support both.

Data Engineering Readiness Assessment

Made for: Organizations exploring data engineering modernization or experiencing data quality/reliability issues

Duration: 1-2 weeks

Investment: Fixed fee, credited toward full implementation

What You Get

  • Current-state data architecture evaluation
  • Data quality and pipeline health assessment
  • Identification of quick wins and long-term opportunities
  • High-level roadmap with estimated timeline and investment
  • No obligation to proceed

Proof of Concept

Ideal for: Organizations wanting to validate the approach with real data before broader rollout

Duration: 4-6 weeks

Investment: Fixed fee, credited toward full implementation

What You Get

  • Working prototype with your actual data sources
  • Demonstration of Microsoft Fabric or Azure capabilities
  • Technical validation of approach and architecture
  • Detailed implementation plan and ROI projection
  • Risk-free validation before full commitment

Production Implementation

Created for: Organizations ready to modernize their data engineering infrastructure with a proven partner

Duration: 12-16 weeks (typical)

Investment: Based on scope, typical range $50K - $250K

What You Get

  • Production-ready data pipelines and infrastructure
  • Integrated data quality and governance
  • Monitoring, alerting, and operational runbooks
  • Comprehensive training for your team
  • 90-day post-launch support included

Connect With Us to Explore

Whether you are a business aiming to embrace the next wave of digital transformation or a professional seeking a dynamic and inspiring workplace, Alletec is your partner in progress. At Alletec, a trusted Microsoft Dynamics 365 partner, technology meets empathy, and possibilities turn into reality. Together, let's create a future of success, innovation, and shared growth.

Let's make tomorrow extraordinary—together.

Connect With Us

Got questions about Microsoft Data Engineering? Check out our FAQs for best answers

What is Data Engineering?

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Data engineering is the practice of building and managing data pipelines that move data from source systems into analytics and AI environments. This includes integrating data from multiple systems, cleaning and transforming it, and structuring it in data lakes and data warehouses so it is reliable, governed, and ready for use.

Why is it important for modern businesses?

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Data engineering is critical because it provides the foundation for all data-driven decisions. Without reliable data pipelines, businesses face inconsistent reporting, delayed insights, and inability to scale analytics or AI initiatives. It enables real-time decision making, improves operational efficiency, and ensures data governance and compliance.

How much do cloud data engineering consulting cost?

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Cloud data engineering consulting costs vary based on project scope, complexity, data volume, and required integrations. Typical engagements range from fixed-fee assessments (1-4 weeks) to production implementations ($50K - $250K+). Contact our team for a customized quote based on your specific requirements.

What problems do data engineering services solve?

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Data engineering services solve data silos and integration complexity, poor data quality and reliability, inability to scale with growing data volumes, delayed time-to-insight, high manual data preparation effort (60-80% of analysts' time), and lack of governance and audit readiness.

What is the difference between data engineering and data science?

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Data engineering focuses on building and maintaining the infrastructure, pipelines, and systems that collect, store, and prepare data. Data science focuses on analyzing that data to generate insights, build predictive models, and drive decision-making. Data engineering provides the foundation that enables data science to be effective.

Why choose Bitsquad as a data engineering service provider?

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Bitsquad brings 25+ years of enterprise systems expertise, deep Microsoft platform knowledge (Fabric, Azure Data Services, Purview), dedicated data engineering team, production-grade approach with governance built-in, and end-to-end capabilities from strategy to operations and managed services.

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