Built by senior data architects, not coding copilots
BEFORE
18weeks
NOW
8days

Your data modernization doesn't need months of discovery. It needs a Modernization Canvas.

AI-augmented assessment, architecture planning, fact-based estimation, reverse engineering, and bulk code conversion. For migration or greenfield modernization to Microsoft Fabric, Snowflake, Databricks, BigQuery, and Redshift.

See the 8-Day Modernization Canvas

Fixed scope. Fixed price. Director-level signing authority.

THE DELIVERABLE
Modernization Canvas
DELIVERED IN 8 DAYS
MigrationGreenfieldSource-connectedArchitect-grade
01 - Estate inventoryFOR MIGRATION
1,247 objects discovered from live system
Data feeds + KPIsFOR GREENFIELD
12 data feeds, 28 KPIs, business objectives mapped
02 - Granular complexity scoring
847 low 312 medium 88 high
03 - Architecture plan
Lakehouse + medallion, 4 workspaces
04 - Roadmap + plan
Detailed WBS, effort estimation, wave plan
05 - Target models + code
Target data models, auto-generated ETL, bulk converts
Reviewed by senior architects. 25 years enterprise data DNA.
FROM
Synapse Dedicated PoolSSISTeradataOracleSQL ServerNetezzaDB2HadoopGreenfield inputs (feeds, KPIs)
TO
Microsoft FabricSnowflakeDatabricksBigQueryRedshift
8 days
SQL Server -> Redshift modernization for a Brazilian SI. $150K saved on discovery.
1,600 tables
Catalogued in 3 days post-acquisition for an Australian retailer modernizing on BigQuery.
8 weeks
Databricks -> Fabric modernization for a global manufacturer. Zero business disruption.

How the Modernization Canvas gets built.

DAYS 1 -> 2

Assess

FOR MIGRATION
Source-connected estate inventory, metadata extraction, dependency mapping
FOR GREENFIELD
Data feed analysis, KPI capture, business objective mapping
WHAT YOU GET
A full inventory of your data estate: live object counts, dependencies, and metadata. Or a clean greenfield input map.
Reverse EngineerMetadata IntelligenceForward Engineer
DAYS 3 -> 6

Plan

  • Granular complexity scoring (1 -> 5 per object)
  • Target architecture design (Lakehouse, medallion, workspaces)
  • Detailed WBS, effort estimation, skills matrix
  • Wave plan + risk register
WHAT YOU GET
A complexity-scored, architecture-grounded plan with effort estimates director-grade enough to sign off on.
Forward EngineerMigrateTo Fabric
DAYS 7 -> 8

Convert + handover

  • Target data models + DDL
  • Auto-generated ETL pipelines
  • Bulk-converted sample code
  • Synthetic samples for safe validation
  • Canvas handover + knowledge transfer
WHAT GETS HANDED OVER
Working code, synthetic data for validation, and a Canvas your team owns and runs after we hand it over.
Code ConversionMigrateTo FabricSynthetic Data

How Do We Help?

Agentic AI accelerators infused with specialized data engineering expertise, behaving like niche-skilled engineers. Deploy in weeks, reuse forever.

Before
Manual SQL and ETL conversion across platforms
After
3X to 5X faster code conversion across platforms
Before
Limited expertise in solutioning, data modeling, and code generation
After
Solutioning, data modeling, and code generation in days
Before
Slow reverse engineering of complex legacy systems
After
Legacy system discovery in hours, not months
Before
Weak program planning and effort estimation
After
SI-grade strategy, roadmaps, and estimates in hours
Before
Missing metadata, documentation, and SME context
After
Metadata, lineage, and documentation auto-generated
Before
Testing and deployment not aligned to migration complexity
After
Testing and deployment tailored to actual scope
Before
Limited ability to identify AI acceleration opportunities
After
Teams enabled to apply AI across the lifecycle

Data Engineering Accelerators

Ready-to-use, enterprise-grade accelerators for your data engineering lifecycle

Who We Work With

We partner with enterprise teams planning, building, and modernizing data platforms.

Data Engineering Leaders

For leaders driving strategy, modernization roadmaps, platform decisions, and delivery planning.

Faster PlanningBetter EstimatesClear RoadmapsCost OptimizationAccelerated Delivery

Data Engineering Teams

For teams building greenfield platforms, data models, pipelines, validation frameworks, and AI-ready data foundations.

Architecture BlueprintsETL Code GenerationFaster Data ModelingBulk Code ConversionAutomated Validation

System Integrators

For SI teams delivering complex migration, modernization, and client transformation programs.

Faster ProposalsBetter EstimatesAccelerated ModernizationMigration AccelerationDelivery Confidence

Challenges We Address

Solving the challenges that consume engineering time, inflate budgets, and delay modernization

Time-consuming code migration

Not leveraging AI accelerators

Over-sized delivery teams

No fact-based planning

Reverse-engineering complex systems

Lack of niche skills

Undocumented legacy systems

  • Migrations taking months due to manual conversion and refactoring.
  • Complex legacy systems slowing delivery and modernization.
  • Engineering costs rising from oversized teams and rework.
  • Business demanding faster insights and AI-ready platforms.
  • Specialized data engineering talent scarce and expensive.
  • Manual processes creating errors and quality issues.
  • Scaling delivery constrained without automation.

Our Accelerators are Unique

Built by data engineers, for data engineers. Infused with 25+ years of distinguished-grade expertise and Fortune 50 experience.

Purpose-Built for Data Engineering Use Cases

Agentic Intelligence, Not Just Automation

Reusable, Configurable, and Enterprise-Ready

Infused With Distinguished-Grade Data Expertise

Purpose-built for real data engineering work

Built ground up for core data engineering functions, including niche skills like architecture, planning, estimation, ETL code generation, code conversion, validation, and proposals.

Infused with senior engineering expertise

Embedded with 25+ years of seasoned data engineering skills as knowledge bases, decision logic, workflows, templates, and validation rules.

Agentic intelligence, not simple automation

Our accelerators reason through complexity, understand dependencies, handle edge cases, and generate outputs like senior data engineers.

Reusable, configurable, and enterprise-ready

Designed for repeated use across projects, platforms, and teams with SI-grade deliverables, governance-ready documentation, and quality controls.

Our Flexible Delivery Models

Choose the engagement model that best fits your needs and goals

Accelerator Ownership & Enablement

  • Deploy accelerators directly in your secure environment
  • Comprehensive training to empower your team independently
  • Optional full source code ownership for complete control

Co-Delivery Partnership & Support

  • Jointly deliver outcomes on real production programs
  • Expert-led setup, execution, and continuous optimization
  • Ongoing support, guidance, and knowledge transfer included

The Outcome

Measurable impact on your data engineering initiatives

0%

Faster Delivery

Deliver in weeks instead of months

Up to 40% Faster

0%

Lower Costs

Right-sized teams, automation at scale

Up to 60% Less Manual Effort

0%

Higher Quality

SI-grade, standards-compliant outputs

95%+ Accuracy

Frequently Asked Questions

Answering common questions about 3X Data Engineering to help you get started on your modernization journey.

3X Data Engineering is a specialized data and AI engineering company focused on accelerating enterprise data engineering programs. We build AI powered accelerators and provide strategic advisory services that help organizations reduce the time and cost of data engineering initiatives by 30 to 60 percent. Our solutions help data teams automate repetitive work, modernize legacy systems, and deliver scalable data platforms faster while maintaining high engineering quality.
3X Data Engineering operates using a hybrid model that combines products and services. We provide pre built data engineering accelerators designed to automate common engineering tasks. In addition to that, our team can build custom accelerators tailored to specific client environments and project requirements. We also offer Data Engineering Acceleration Advisory where we work with data leaders to identify opportunities to introduce AI and automation across their data engineering lifecycle.
Most of our accelerators are designed to be largely plug and play and typically require only minor configuration. Because every enterprise data environment is different, we usually perform light customization to align the accelerator with your technology stack, architecture, and project requirements. This ensures the solution integrates smoothly with your ecosystem and delivers the highest possible value.
We support the full data engineering lifecycle from strategy to deployment. Our accelerators and advisory services can help with migration strategy, modernization planning, architecture design, data modeling, reverse engineering legacy systems, forward engineering new platforms, code conversion, documentation generation, testing strategy, exploratory data analysis, deployment, and governance. Our focus is on identifying areas where automation and AI can significantly reduce manual engineering effort.
General purpose AI tools such as ChatGPT or coding assistants help developers write code faster but they are not designed to handle large scale enterprise data engineering workloads. Our accelerators are purpose built for data engineering challenges such as processing thousands of database objects, reverse engineering complex systems, automating repetitive engineering tasks, and performing large scale code conversions. Instead of helping an individual developer, our accelerators help automate significant portions of engineering work across entire data programs.

Let's talk scale.

Our team of engineering experts and AI architects is ready to help you accelerate your data modernization journey.

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