Ready to Connect Your Systems?
Let's discuss your data integration challenges and design a solution that works for your specific environment.
Contact Me1314 South 1st Street, Unit 206 Milwaukee,WI 53204, US
1314 South 1st Street, Unit 206 Milwaukee,WI 53204, US
Let's discuss your data integration challenges and design a solution that works for your specific environment.
Contact Me
Your business runs on systems built decades ago—systems that work but are difficult to integrate, expensive to maintain, and impossible to replace overnight. Legacy system modernization isn’t about wholesale replacement; it’s about carefully bridging old and new, preserving your investment while enabling modern capabilities.
I specialize in connecting legacy databases, mainframe systems, and on-premise applications with modern cloud services, APIs, and analytics platforms. The goal is to extend the life of working systems while reducing technical debt and enabling innovation.
API Integration with Legacy Databases
Your legacy system has no API, but modern applications need real-time access. I build REST API layers over legacy databases, enabling integration while protecting the core system.
Cloud Migration Strategies
Moving to Azure doesn’t mean rewriting everything. I design hybrid architectures: lift-and-shift for stable components, refactoring for high-value areas, and cloud-native services where they add value.
Data Extraction from Legacy Systems
Get data out of old systems for analytics, reporting, or migration. ETL pipelines that handle proprietary formats, limited connectivity, and performance constraints.
Modern Authentication for Legacy Apps
Replace outdated authentication with OAuth2, Azure AD integration, and modern security while maintaining compatibility with existing systems.
Incremental Modernization
Full rewrites fail. I design staged approaches: modern interfaces over legacy backends, gradual feature migration, and parallel operations that minimize risk.
Azure Integration Services
Azure Data Factory for ETL, Azure B2B for cross-organization collaboration, Azure Functions for serverless processing, and Azure SQL Database for cloud data storage.
Hybrid Cloud Architecture
On-premise databases connected to Azure services via VPN or ExpressRoute. Gradual migration while maintaining legacy system operation.
API Development
REST APIs built in Python or .NET that provide modern interfaces to legacy databases. Authentication, rate limiting, and comprehensive error handling.
Data Migration Strategies
ETL pipelines for one-time migrations or ongoing synchronization. Validation, rollback capabilities, and parallel operations to minimize downtime.
Legacy Database Integration
Work with older SQL Server versions, Oracle, DB2, and even flat files. ODBC connections, custom drivers, and transformation logic for legacy data formats.
Azure B2B Collaboration
Secure cross-organization data sharing without building custom security infrastructure. Partner access to Azure-hosted data with granular permissions.
Legacy Insurance System Cloud Integration
On-premise agent management database integrated with cloud-based APIs and reporting. Azure Data Factory pipelines for nightly sync, Azure B2B for partner access, modern analytics on legacy data.
Mainframe Data Extraction
Automated extraction from mainframe files to SQL Server for analytics and reporting. Handle EBCDIC encoding, fixed-width formats, and complex hierarchical structures.
API Layer Over Legacy Database
RESTful API providing modern access to 20-year-old SQL Server database. OAuth2 authentication, JSON responses, comprehensive validation—all while legacy applications continue operating unchanged.
Gradual Migration to Cloud
Staged migration of on-premise systems to Azure. Start with reporting database, then ETL processes, then application components. Reduce on-premise footprint while maintaining business continuity.
Protect Your Investment
Your legacy systems represent decades of business knowledge and investment. Extend their value instead of replacing them.
Enable Innovation
Connect legacy data to modern analytics, AI, and cloud services. Unlock insights without rewriting core systems.
Reduce Technical Debt
Incremental improvements reduce maintenance costs and make future changes easier. Address the worst problems first.
Improve Integration
Modern APIs and cloud connectivity make legacy systems better citizens in your overall architecture. Easier integration with partners and new applications.
Manage Risk
Big-bang replacements are high-risk. Incremental modernization maintains business continuity while reducing dependency on legacy technology.
Attract and Retain Talent
Developers want to work with modern tools. Hybrid architectures let you hire talent who can work with both legacy and modern systems.
Strangler Fig Pattern
Gradually replace legacy functionality with modern components. New features in modern technology, legacy code slowly retired as it’s replaced.
API Façade
Modern API layer in front of legacy systems. Applications use the API, which translates to legacy system calls. Enables modern integration without changing core systems.
Data Synchronization
Legacy and modern systems run in parallel with automated data sync. Gradual cutover as confidence builds and functionality is validated.
Lift and Shift Plus
Move legacy systems to cloud infrastructure (lift and shift), then incrementally add cloud-native features (plus). Immediate cloud benefits with path to modernization.
Assessment (2-3 weeks)
Analyze legacy systems, integration points, business priorities, and technical constraints. Identify highest-value modernization opportunities and map dependencies.
Strategy & Roadmap (1-2 weeks)
Design the modernization approach: what stays, what moves, what gets rewritten, and in what order. Risk assessment and mitigation strategies.
Proof of Concept (2-4 weeks)
Validate approach with small-scale implementation. Test integration patterns, migration tools, and performance before full commitment.
Incremental Implementation (ongoing)
Execute modernization in phases. Each phase delivers value while reducing risk. Regular assessment and course correction.