Enterprise data engineering that powers decisions.
We build production-grade data platforms, AI systems, and analytics solutions for enterprises — from strategy through deployment.
Snowflake
Databricks
AWS
Azure
GCP
dbt
Tableau
Power BI
ClickHouseSnowflakeDatabricksAWSAzureGCPdbtTableauPower BIClickHouseEnterprise engagements completed
Client satisfaction rating
Average pipeline uptime
Repeat engagement rate
Trusted across industries
Too many data tools. Not enough clarity.
Enterprise data is fragmented across warehouses, data lakes, and SaaS platforms. Reports contradict each other. ML models run in notebooks but never reach production. Decision-makers wait weeks for insights that should take minutes.
Not sure where to start?
Get a free 30-minute data strategy assessment with one of our architects. No obligation.
What we do
Data Engineering
Cloud-native data platform engineering on Snowflake, Databricks, and AWS. We architect data pipelines using dbt, Fivetran, and Kafka that process billions of events daily with automated data quality checks and full CI/CD.
AI & Machine Learning
Production-grade ML systems with MLOps, automated retraining, and real-time inference. Custom AI models, NLP, LLM applications, and recommendation engines with enterprise SLAs.
BI & Analytics
Self-service BI analytics with governed semantic layers. Executive dashboards, KPI frameworks, and a single source of truth across Tableau, Power BI, and Looker.
Cloud & Platform
Infrastructure as code, CI/CD pipelines, Kubernetes orchestration, and cost optimization across AWS, Azure, and GCP. We build the foundation everything else runs on.
How we deliver projects
Every engagement follows a structured, milestone-driven delivery methodology with clear checkpoints and stakeholder visibility throughout.
Discovery & Scoping
We align on the problem, constraints, and data landscape. Stakeholder interviews, data dependency mapping, and success criteria — all documented before any code is written.
Architecture & Planning
Solution architects design the target state, define milestones, and produce a delivery plan. Architecture decisions are documented and approved before the build phase.
Sprint Execution
Work progresses in 2-week sprints with CI, automated testing, and regular demos. Each sprint delivers working, tested software. You review real output every cycle.
Handoff & Support
We deliver with full documentation, runbooks, monitoring, and knowledge transfer sessions. Your team owns everything — code, infrastructure, and the confidence to maintain it.
Security is engineered in, not bolted on
Enterprise data demands enterprise-grade protection. Every system we build includes security, compliance, and data governance as foundational requirements.
Data Protection
Encryption at rest and in transit. Role-based access controls. Data masking and tokenization. Your data stays within your security perimeter.
Compliance-Ready
SOC 2, HIPAA, GDPR, and CCPA-aware architectures. Audit trails and lineage built in from day one.
Zero Data Retention
Client data is never retained or used beyond the engagement. Our engineers work within your environment under your policies.
Secure Development
Code reviews, vulnerability scanning, IaC with policy guardrails, and secrets management. Security is part of our CI/CD pipeline.
Three ways to work with us
Choose the model that fits your project scope and timeline. All include dedicated architecture leadership.
Milestone / Sprint
4-16 weeks
Fixed scope, sprint-based delivery with clear milestones and predictable costs. You define the outcome, we engineer the path.
- Defined deliverables
- 2-week sprints
- Fixed budget
- Full handoff
POD Model
6+ months
A dedicated cross-functional team of 4-8 engineers embedded in your organization. Deep domain knowledge that compounds over time.
- Dedicated team
- Evolving roadmap
- Continuous delivery
- Knowledge transfer
Staff Augmentation
Flexible
Senior engineers embedded directly in your team. Your tools, your processes. We provide the talent to scale your capacity.
- Flexible scaling
- Your management
- 1-2 week start
- Month-to-month
Proven outcomes across industries
Real results from production deployments — not proofs of concept.
Cloud data platform migration
Challenge: 15+ years of fragmented on-premise data across 12 business units.
Outcome: Migrated to Snowflake with automated quality monitoring and unified governance.
73%
faster queries
$2.1M
annual savings
Production recommendation engine
Challenge: ML models stuck in notebooks, no real-time inference, zero A/B testing.
Outcome: Two-tower neural network processing 50M+ events daily with sub-50ms inference.
34%
conversion lift
<50ms
P99 latency
Enterprise BI transformation
Challenge: 200+ contradicting reports across risk, compliance, and trading desks.
Outcome: Governed self-service analytics with unified semantic layer and automated lineage.
85%
self-service adoption
4x
faster insights
What our clients say
Hear from engineering and data leaders who partnered with us.
We had two failed cloud migrations before Modofy. They didn't just move our data — they mapped every undocumented dependency, built validation into every step, and had us running on Snowflake in four months. Pipeline runtime went from eight hours to twenty minutes.
Sarah Chen
VP of Data Engineering, Fortune 500 Energy Company
Our data science team had built strong models, but nothing was making it to production. Modofy embedded an MLOps squad with our risk analytics group and operationalized three credit risk models in under four months — with full regulatory compliance.
James Okafor
Director of AI & Machine Learning, Global Financial Services Firm
We didn't need more dashboards. We needed agreement on what the numbers actually meant. Modofy defined 28 KPIs with precise calculations and built the analytics platform around those definitions. Clinic manager adoption hit 89% in six weeks.
Rachel Moreno
Chief Analytics Officer, Mid-Market Healthcare Company
Modofy's engineers operated like they were part of our team — same standups, same code reviews, same standards. They built our real-time event platform, trained our engineers on it, and left us with infrastructure we actually understand and can extend.
David Hartley
CTO, Series C Retail Technology Company
Common questions
Ready to talk?
Book a free data strategy consultation. We will assess your data landscape, identify quick wins, and outline a roadmap to production.