Microsoft Fabric Consulting Services
Assess. Architect. Implement. Govern.
Stop managing five disconnected data tools when one governed platform can do it all. Aegis Softtech helps enterprises assess, design, implement, and optimise Microsoft Fabric environments with a governance-first approach and a written go/no-go recommendation before any build work begins.
Global Delivery Experience
Fabric & Data Specialists
Industries Served
Written assessment
Awards and Appreciation
Our Microsoft Fabric Consulting Services
Each service is available standalone or as part of an end-to-end engagement.
Microsoft Fabric Readiness Assessment
Prior to any Fabric recommendations, we perform an assessment of your current environment based on Azure investments, architecture maturity, Power BI use, governance preparedness, and volume of data. Provides a documented go/no-go analysis with justification.
Architecture & Azure Integration
We design Fabric as an extension of your existing Azure environment — not a replacement. Integrations include Azure Synapse Analytics, Azure Data Factory, Power BI, OneLake, and Azure OpenAI.
Microsoft Fabric Implementation
Structured delivery across six stages: fitment validation → architecture & design → platform configuration → phased data migration → validation & optimisation → handover & knowledge transfer. No stage is skipped; technical debt from shortcuts surfaces as performance and governance failures later.
Migration Consulting (Synapse → Fabric)
Workload-by-workload evaluation determines what migrates as-is, what needs rearchitecting, and what stays on Synapse. Phased execution with validation at each stage — not a single cutover.
Real-Time Intelligence & Streaming Analytics
IoT sensor data processing, financial transactions monitoring, operational dashboards, streaming pipeline triggers, and more, powered by the native Real-Time Intelligence capabilities of Fabric without the overhead of additional infrastructure.
Data Science & Machine Learning in Fabric
Fabric Notebooks, predictive model development on Lakehouse data, Azure Machine Learning integration for production deployment, and MLOps practices including versioning, retraining schedules, and model governance.
Governance & Cost Optimisation
RBAC, RLS, audit logging, and data classification are implemented as structural components. Capacity sizing aligned to actual workload demand, cost attribution mapped to business units, and alerting for capacity threshold breaches.
Ongoing Fabric Managed Services
Proactive performance monitoring, capacity optimisation, quarterly governance reviews, incident response, and regular reporting to data leadership — available as a monthly retainer for environments built by Aegis or any other team.
Why Consider Aegis Softtech as your Microsoft Fabric Consultant in India?
Choosing Aegis as your Microsoft Fabric consulting partner means working with a team that starts every engagement with "should you adopt Fabric", not "how fast can we start billing." Here's what sets us apart:
Fitment-based strategy
All projects start with a Fabric Readiness Assessment that evaluates your existing Azure investments, level of data architecture maturity, Power BI deployment patterns, and cost considerations. If Fabric isn't the right fit, we document that in writing with a clear rationale and a recommended alternative — before any build work begins.
Governance as architecture, not an afterthought.
Row-Level Security, RBAC, data ownership models, and audit readiness are design constraints we apply from the architecture phase. Adding governance post-live will be costly and disruptive. We plan for it right from the beginning.
Knowledge transfer
You run Fabric independently when the engagement ends. We document the platform thoroughly, train your team, and deliberately avoid designing anything that creates ongoing consultant dependency.
Synapse-to-Fabric migration experience
Different Synapse workloads migrate differently. We evaluate each individually — some move as-is, some need rearchitecting, and some should stay on Synapse for now. Every decision is documented with reasoning.
20+ years of global delivery
As Microsoft Fabric consultants in India with global reach, Aegis has delivered technology engagements across manufacturing, BFSI, healthcare, retail, and SaaS for over two decades. Our Fabric practice is built on that foundation — not assembled for the trend.
Time Zone Compatibility
Regardless of the time zone, you will experience regular communication and A-class project management.
Benefits of Microsoft Fabric Consulting Services
If your organisation runs multiple data tools, separate pipelines, reporting platforms, and governance systems, Microsoft Fabric consulting helps you consolidate them into a single, governed, scalable analytics platform.
Here's what enterprises consistently achieve with expert Microsoft Fabric consulting:
Saves on costs related to operational data by 25-40% through platform consolidation
Consolidating the processes involved in data engineering, warehousing, business intelligence, and governance to one cloud-based service. This helps avoid redundant licensing and infrastructure costs.
Cuts time-to-insight by 40–60%
by replacing fragmented pipelines with a unified lakehouse architecture. Data teams spend less time reconciling sources and more time generating business value.
Improves report accuracy and trust
Through unified semantic layer management. There will be no conflict in key performance indicator definitions or dashboard reports due to the fact that everything will depend on one certified data source.
Accelerates AI readiness
By creating the governed, clean data foundation that Azure OpenAI and machine learning initiatives require. Organisations with structured Fabric environments deploy AI use cases 2–3x faster than those migrating from ad hoc pipelines.
Mitigates governance risk
Through RBAC, Row-Level Security, audit logging, and data classification implemented from day one, and not retrofitted after go-live. Enables compliance with GDPR, HIPAA, SOC 2, and RBI data localisation requirements.
Enables self-sufficient teams
Every Aegis engagement includes complete documentation, training, and handover. Your team operates the platform independently after go-live, without ongoing consultant dependency.
Industries We Serve
| Industry | Business Outcomes |
|---|---|
| BFSI | Unified regulatory reporting, stronger compliance controls, customer 360 visibility |
| Retail & E-commerce | Demand forecasting, inventory optimisation, real-time customer insights |
| Manufacturing & Supply Chain | Real-time production monitoring, predictive maintenance, end-to-end supply chain visibility |
| Healthcare & Life Sciences | Governed analytics, HIPAA-compliant data access, compliance-ready reporting |
| SaaS & Technology | Product intelligence, subscription analytics, AI-ready data foundations |
What do clients say?
We had already implemented Fabric, but reports were slow, and costs were climbing. Their team identified the root causes quickly and helped us fix the underlying architecture.
Our analytics stack had become too complicated to manage. Their Microsoft Fabric consulting helped us simplify things and finally get our Power BI environment under control.
Our Team
Microsoft Fabric Consulting Engagement Models
We have flexible engagement models available to suit our clients' various needs. These engagement models are tailored to deliver the appropriate amount of expertise for Microsoft Fabric based on your environment, timeframe, and budget.
Fixed Monthly Pricing
Choose this model if you want a dedicated team of Fabric architects, data engineers, and governance specialists working exclusively on your programme for a fixed monthly retainer. Prices start at $2,500/month for a dedicated Senior Microsoft Fabric consultant in India.
Hourly Fee Structure
In cases where you need us to perform some assessments, audits, or other projects that have an uncertain scope but need expert advice, the hourly model is ideal since there is no binding period required. Hourly rates begin at $20 per consultant.
What if we told you one tool can handle your data science, data engineering, reporting, and real-time analytics? Microsoft Fabric can bring about a monumental shift in unifying every stage of your data analytics lifecycle.
As organizations keep on embracing data-driven decision-making, the requirement for versatile, proficient architectures turns out to be seriously squeezing.
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FAQs
Assessment, Architecture, Azure Integration, Implementation, Migration, Governance, Cost Optimization, and Managed Services, all based on the maturity of your data and Azure usage.
Microsoft Fabric is an integrated analytics service that brings together data engineering, warehousing, real-time analytics, business intelligence, and artificial intelligence, all provided through the Microsoft Azure cloud platform and powered by OneLake.
Azure is a cloud platform offering infrastructure, databases, AI, and application services. On the other hand, Microsoft Fabric is an analytics platform built on Azure that offers unified data engineering, warehousing, BI, and governance in a single SaaS experience.
We evaluate each workload individually. Some migrate directly, some need rearchitecting, and some are better left on Synapse for now. Every decision is documented, and migration is executed in phases — not as a single cutover.
Through disciplined capacity planning, workload isolation, usage monitoring, cost attribution mapped to business units, and capacity threshold alerting — all built in from the architecture phase, not added after deployment.
Yes. Remediation projects are one of our most common engagements. We begin with root-cause analysis covering architecture, governance gaps, performance, and capacity — then fix the actual issues rather than masking symptoms.
GDPR, HIPAA, SOC 2, and RBI Data Localization, based on your industry and geographical location. Role-based access control, row-level security, audit logging, and data classification are part of the structure.
Yes. Our managed services retainer covers proactive monitoring, capacity optimisation, governance reviews, incident response, and regular reporting to data leadership. Available for environments we built or those built by another team.