You will get Microsoft Fabric Readiness Assessment & Architecture Recommendation
Top Rated
Project details
Before you commit budget to a Microsoft Fabric build, get an evidence-based recommendation from an Expert-Vetted Azure architect with 15+ years in enterprise data platforms (Top 1% on Upwork, 100% Job Success).
Most Fabric projects fail at two points: capacity was guessed instead of validated, and the architecture wasn't designed for how the data actually behaves. This assessment fixes both — before you spend.
WHAT YOU GET
A formal Fabric Readiness Assessment covering:
✓ Current-state review of sources and reporting patterns
✓ Target Fabric architecture (Lakehouse, Direct Lake, OneLake)
✓ Capacity sizing (F-SKU) with PoC validation plan
✓ Incremental load and refresh strategy
✓ Storage and retention model
✓ Risk register with mitigations
✓ Clear go / no-go recommendation
BEST FIT FOR
• Companies evaluating Fabric vs Databricks vs Synapse
• Teams whose Fabric pilot stalled
• Organizations sizing their first F-SKU capacity
• Anyone about to commit a six-figure data budget
HOW IT WORKS
1. Purchase the tier
2. 45-min discovery call within 48 hours
3. Share access or describe environment
4. I produce the assessment
5. 1-hour walkthrough call
Reach out for customized pricing.
Most Fabric projects fail at two points: capacity was guessed instead of validated, and the architecture wasn't designed for how the data actually behaves. This assessment fixes both — before you spend.
WHAT YOU GET
A formal Fabric Readiness Assessment covering:
✓ Current-state review of sources and reporting patterns
✓ Target Fabric architecture (Lakehouse, Direct Lake, OneLake)
✓ Capacity sizing (F-SKU) with PoC validation plan
✓ Incremental load and refresh strategy
✓ Storage and retention model
✓ Risk register with mitigations
✓ Clear go / no-go recommendation
BEST FIT FOR
• Companies evaluating Fabric vs Databricks vs Synapse
• Teams whose Fabric pilot stalled
• Organizations sizing their first F-SKU capacity
• Anyone about to commit a six-figure data budget
HOW IT WORKS
1. Purchase the tier
2. 45-min discovery call within 48 hours
3. Share access or describe environment
4. I produce the assessment
5. 1-hour walkthrough call
Reach out for customized pricing.
What's included
| Service Tiers |
Starter
$1,250
|
Standard
$1,950
|
Advanced
$2,950
|
|---|---|---|---|
| Delivery Time | 5 days | 8 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Schema Diagram | - | - | - |
Permissions Setup | - | - | - |
Import/Export Data | - | - | - |
Admin Panel Setup | - | - | - |
37 reviews
(37)
(0)
(0)
(0)
(0)
This project doesn't have any reviews.
YH
Yamin H.
Apr 21, 2026
Azure Data Factory Pipeline
YH
Yamin H.
Mar 23, 2026
ADF Consulting Support (Client)
DS
Dhilip S.
Feb 4, 2025
AAS
Highly skilled. Thank you
JW
Jake W.
Feb 19, 2024
Build data warehouse in Azure
Anup was very knowledgeable on Azure as well as database best practices. He was very flexible with our ever-changing data source, and able to handle every curveball thrown at him.
DC
Deepak C.
Jan 2, 2024
Datawarehouse developer
Anup is a top class consultant with great skills and attitude. One of my best hires ever. I highly recommend him and would give a personal reference to anyone. I will be surely hiring him again too.
About Anup
Microsoft Fabric & Azure Data Architect | Expert-Vetted | 15+ Yrs
100%
Job Success
Delhi, India - 8:52 pm local time
If your data platform is fragmented, expensive, slow, or not ready for AI — I help you modernize it into a scalable, governed, business-ready cloud data ecosystem.
I'm a Strategic Azure Solutions Architect and Data Engineering Leader. I work with clients who need more than development help — they need someone who can assess the current state, define the right architecture, build the roadmap, guide implementation, and stay hands-on when needed.
🎯 What I help you solve
✓ Modernize legacy SQL Server, SSIS, Oracle, and on-prem data platforms
✓ Design Microsoft Fabric Lakehouse, Warehouse, OneLake, and Direct Lake architectures
✓ Build scalable Azure Data Factory + Databricks ingestion and transformation frameworks
✓ Improve Power BI performance, semantic models, RLS, and enterprise BI adoption
✓ Reduce cloud cost through better architecture, workload design, and optimization
✓ Prepare your data foundation for AI, Copilot, Fabric Data Agents, and self-service analytics
✓ Deliver governed data solutions for regulated and complex enterprise environments
🧩 Microsoft Fabric expertise
Hands-on experience with Microsoft Fabric implementation, solutioning, and roadmaps:
▸ Fabric Lakehouse, Warehouse, OneLake, Notebooks, and Pipelines
▸ Direct Lake semantic models and Power BI optimization
▸ OneLake shortcuts and DB mirroring patterns
▸ Fabric Data Agent and Copilot proof-of-concepts
▸ Self-service data models in controlled enterprise environments
▸ Data franchise models for governed, business-owned analytics
If you're deciding whether to move to Fabric, how to structure workspaces and domains, how to combine Fabric with Databricks, or how to design an AI-ready data platform — I can help you avoid costly architecture mistakes early.
🛠 Azure data engineering expertise
▸ Azure Data Factory pipeline design and metadata-driven frameworks
▸ Azure Databricks, PySpark, Spark SQL, Delta Lake, and performance tuning
▸ Azure Data Lake Gen2, Synapse Dedicated Pool, Azure SQL, and SQL Server
▸ Batch and near-real-time data processing patterns
▸ Data warehouse, lakehouse, staging, ODS, and data mart design
▸ Star schema, snowflake schema, dimensional modeling, and semantic layer design
▸ CI/CD, DevOps, environment strategy, and production support readiness
💡 Why clients hire me
✓ Architect + hands-on builder — I design the roadmap and help deliver it
✓ 15+ years across data engineering, BI, cloud migration, and analytics platforms
✓ Strong Microsoft ecosystem depth: Fabric, Azure, Databricks, ADF, Synapse, Power BI, SQL
✓ Enterprise experience across Life Sciences, Manufacturing, Supply Chain, Finance, and Regulatory
✓ Comfortable with governance, security, RLS, GxP-controlled environments, and stakeholder alignment
✓ Clear communication, practical recommendations, long-term ownership mindset
📌 Ideal projects
→ Microsoft Fabric implementation, architecture review, or optimization
→ Azure data platform modernization or migration
→ Databricks + ADF pipeline framework design
→ SQL Server / SSIS / Synapse to Fabric or Databricks modernization
→ Power BI semantic model, Direct Lake, RLS, or performance improvement
→ Cloud data architecture assessment before a large investment
→ AI-ready data platform roadmap for Copilot, Fabric Data Agents, or analytics automation
🤝 How we can start
Send a short note about your current data stack, the business problem you're trying to solve, and whether you need architecture guidance, implementation support, or a second opinion before committing to a direction.
I'll review it and tell you honestly whether I'm the right fit.
Steps for completing your project
After purchasing the project, send requirements so Anup can start the project.
Delivery time starts when Anup receives requirements from you.
Anup works on your project following the steps below.
Revisions may occur after the delivery date.
45-min discovery call within 48 hours
Share access or describe environment