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Data Integration
Enterprise
Legacy Modernization
Knowledge Transfer

Enterprise Data Integration Transformation

Client
Global Financial Services Firm
Company Size
Enterprise (10,000+ employees)
Duration
12 weeks
95%
Reduction in manual data work
Real-time
Data access (vs. 24-48h delay)
6
Engineers upskilled in modern data architecture
100%
Internal ownership post-engagement

The Challenge

Fragmented Data Infrastructure Blocking Decision-Making

A Fortune 500 financial services company struggled with data silos across legacy systems, preventing real-time business intelligence and causing critical delays in decision-making.

Key Pain Points

  • Manual data reconciliation consuming 40+ engineering hours weekly
  • 24-48 hour delays accessing critical business metrics
  • Technical debt preventing adoption of modern analytics tools
  • Knowledge concentrated in 2 senior engineers approaching retirement

Our Approach

12-Week Embedded Data Integration Bootcamp

We embedded a team of 3 engineers with their 8-person data team, working side-by-side to architect, build, and deploy a modern data platform while systematically transferring expertise.

1

Discovery & Architecture

Weeks 1-2
  • Comprehensive data source mapping across 15+ systems
  • Architecture design workshops with internal team
  • Technology selection aligned with team capabilities
  • Success criteria and milestone definition
2

Embedded Development

Weeks 3-8
  • Daily pair programming with internal engineers
  • Incremental pipeline development with continuous deployment
  • Real-time knowledge transfer during implementation
  • Code review sessions establishing best practices
3

Deployment & Handoff

Weeks 9-12
  • Production deployment with zero downtime
  • Comprehensive documentation and runbooks
  • Team training and capability validation
  • Transition to independent operation

The Solution

Real-Time Data Platform with Complete Internal Ownership

A modern, event-driven data platform providing real-time business intelligence with full team capability to maintain and extend.

Technologies Used

Apache Kafka
PostgreSQL
AWS
Python
dbt
Airflow

Key Deliverables

  • Unified data pipeline ingesting from all 15 source systems
  • Real-time analytics dashboard for executive decision-making
  • Automated data quality validation and alerting
  • Comprehensive documentation and operational runbooks
"Mysios didn't just build our data platform—they transformed how our team thinks about and approaches complex integration challenges. The capability they transferred is invaluable."
Sarah Chen
VP of Data Engineering

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