Integration engineering.
Across the delivery lifecycle.

Discovery & Analysis

Build a working understanding of the integration landscape before committing to design or implementation. Discovery can be the first stage of a wider delivery engagement.

• Analyse systems, requirements, interfaces and existing data flows.
• Identify dependencies, technical constraints and ownership boundaries.
• Investigate known integration problems and clarify the scope of further work.

Typical outputAn integration landscape, documented constraints and a prioritised technical scope.

Architecture & Integration Design

Design how systems interact under normal operation and when something goes wrong. Decisions are grounded in the participating systems and the project’s delivery constraints.

• Define API and event-driven patterns, system flows and sequence interactions.
• Design mappings, error handling, retries and recovery behaviour.
• Clarify responsibilities for message production, processing and monitoring.

Typical outputArchitecture decisions, system and sequence flows, and implementation guidance.

Interface & Contract Specification

Translate requirements into interfaces that development and testing teams can use. Make data meaning, system responsibilities and expected behaviour explicit.

• Prepare technical requirements and interface specifications.
• Document field mappings, validation rules and integration contracts.
• Define acceptance criteria and keep specifications aligned with delivery.

Typical outputInterface specifications, mappings and testable acceptance criteria.

API, Kafka & Data Contract Design

Specify the technical details that allow independently developed systems to exchange data consistently.

• Define REST and SOAP API requirements and OpenAPI descriptions.
• Specify Kafka messages, event schemas and producer / consumer expectations.
• Work with JSON, XML and XSD, including compatibility and validation rules.

Typical outputAPI requirements and data or event contracts for implementation and validation.

Troubleshooting Existing Integrations

Investigate integration failures across interfaces, messages and data. Follow the flow between systems to distinguish the symptom from the underlying issue.

• Trace failed integrations, incorrect data and message processing problems.
• Investigate contract mismatches, interface failures and legacy behaviour.
• Support production incident analysis and validate proposed corrections.

Typical outputRoot-cause findings, corrective recommendations and validation evidence.

Migration & Modernization

Support the integration analysis and design needed when enterprise or manufacturing platforms change. Scope focuses on integration boundaries and the transition between systems.

• Map dependencies when moving from legacy interfaces to modern APIs.
• Analyse migration between MES, ERP and other enterprise platforms.
• Design changes to data flows, coexistence and integration cutover.

Typical outputAn integration migration scope, transition design and identified risks.

Integration Testing & Go-Live

Help teams establish whether interfaces behave as specified and are ready for production. Continue through go-live and stabilization within an agreed scope.

• Prepare integration and acceptance test scenarios.
• Validate data, interface behaviour, error paths and recovery.
• Investigate defects and support readiness reviews, go-live and stabilization.

Typical outputValidation findings, defect analysis and production readiness inputs.

SQL & Data Analysis

Use data investigation to support integration decisions and troubleshoot discrepancies between systems.

• Investigate integration data using SQL and PostgreSQL.
• Validate source-to-target mappings and transformation results.
• Trace missing, duplicated or inconsistent records across data flows.

Typical outputData findings, mapping verification and reproducible validation queries.

Implementation Support & Selective Implementation

Help take designed integrations into production by supporting development teams and implementing selected components where the scope and technology fit.

• Provide implementation assistance and resolve technical questions.
• Build selected integration components and technical automation.
• Coordinate interface dependencies with developers and testing teams.

Typical outputAgreed integration components, automation or implementation support.

Technical Documentation & Delivery Support

Keep technical information usable throughout delivery and handover. Documentation follows the integration’s actual behaviour and the decisions behind it.

• Prepare architecture, interface and integration documentation.
• Support technical coordination and clarification of dependencies.
• Document operational behaviour and handover information.

Typical outputMaintained technical documentation and delivery or handover support.