nDeavour Consulting

• Design and implement robust, scalable data ingestion and transformation pipelines using Databricks, PySpark, and distributed processing. Utilize Airflow (or similar) for reliable workflow orchestration. • Implement Delta Lake principles, focusing on CDC and schema evolution. Establish and integrate data quality frameworks (e.g., Great Expectations) within CI/CD pipelines for data integrity. • Develop and optimize complex SQL and Python scripts. Integrate diverse data sources (APIs, S3 files, etc.) and handle both structured and unstructured data. • Support the implementation of data governance and cataloguing solutions (e.g., Unity Catalog). Proactively investigate and improve inconsistent legacy datasets. • Guide and manage AI agents for code generation, ensuring quality and stability. Work pragmatically and collaboratively to drive technical solutions.

• Act as the final functional authority for complex D365 F&O Supply Chain Management incidents, problems, and service requests. • Perform deep root-cause analysis on critical business process interruptions and collaborate with technical teams to deploy permanent fixes. • Provide expert guidance, technical coaching, and updated documentation to empower Level 1 and Level 2 support teams. • Maintain deep functional mastery over core application areas, specifically Supply Chain Management with Manufacturing, Order Management, and Advanced Warehousing. • Ensure all supported solutions strictly align with standard D365 functionality, prioritizing system configuration over heavy customization. • Assess the functional impact of proposed system changes and support User Acceptance Testing (UAT), regression testing, and release planning.

• Act as the L3 technical escalation point for D365 F&O incidents, problems, and service requests. • Investigate and resolve complex production issues, including: • Batch job failures and performance bottlenecks • Data integrity, posting issues, and intermittent defects • Integration failures and API/service errors • Environment-specific issues across Dev/Test/UAT/Prod • Perform deep root cause analysis using logs, traces, monitoring tools, and debugging techniques. • Produce high-quality fixes (hotfixes, data fixes, configuration-supporting code changes) ensuring minimal operational impact. • Work with Microsoft Support and third-party vendors/ISVs as needed for critical defects. • Design, build, and maintain extension-based solutions following Microsoft best practices (no over-layering). • Develop and support: • X++ customisations and extensions • SSRS reports, Data Entities, and OData/Custom services • Batch framework enhancements and asynchronous processing • Conduct code reviews to ensure: • Performance, security, maintainability, and supportability • Compliance with coding standards and deployment guardrails • Optimise solution performance through: • Query tuning, indexing recommendations, caching considerations • Efficient batch scheduling and workload separation • Support and enhance integrations including: • OData, REST services, DMF (Data Management Framework) • Azure integrations (e.g., Service Bus, Functions, Logic Apps) where applicable • Power Platform integration touchpoints (as relevant) • Diagnose and resolve interface and data movement issues (mapping, transformations, retries, sequencing). • Support data activities such as: • Data corrections, reconciliation routines, and entity-based imports/exports • Ensuring auditability and controlled execution of data fixes • Support and contribute to release planning and deployment execution across environments (Dev/Test/UAT/Prod). • Work with Azure DevOps to manage: • Work items, branching, pull requests, and build/release pipelines • Maintain and improve CI/CD practices including: • Automated build validation, code quality checks, release approvals • Support LCS activities (as applicable): • Environment health checks, deployable packages, updates/hotfixing • Manage user access rights • Security role troubleshooting and duty/privilege analysis • Support user licencing (assign/remove licences & support licence renewal process) • Operate within ITIL-aligned MSS processes: incident, problem, change, and request fulfilment. • Produce clear technical documentation: • RCA reports, technical notes, deployment runbooks, knowledge base articles • Identify recurring issues and implement problem prevention and automation. • Support and guide L1 and L2 support teams, ensuring effective issue resolution and knowledge transfer

• Collaborate with product, design, and backend teams to deliver user-facing features • Build and maintain scalable, reliable frontend components and applications • Write clean, reusable, and well-tested code following team best practices • Participate in code reviews and contribute to improving frontend standards • Help monitor and debug issues using logs, metrics, and monitoring tools • Identify and fix bugs, performance issues, and UX inconsistencies • Contribute ideas to improve performance, usability, and developer experience

• Design & Develop Backend Services • Build scalable backend services and REST APIs using C# and .NET while following clean architecture principles and engineering best practices. • Deliver High Quality Software • Build Cloud-Native Solutions • Develop applications running in modern cloud environments using containerized infrastructure and cloud services. • Work with Distributed Systems • Design and implement reliable backend solutions using PostgreSQL, Redis, caching mechanisms, messaging systems, and asynchronous communication patterns. • Partner closely with Product, QA, and fellow engineers to refine requirements, estimate work, and successfully deliver roadmap features. • Embrace AI-Assisted Development

• Develop and maintain high-quality mobile applications for both iOS and Android using React Native and TypeScript • Build reusable, scalable, and maintainable mobile components • Collaborate closely with Product, Design, Backend, and QA teams to deliver new features • Integrate mobile applications with REST APIs and backend services • Participate in code reviews and continuously improve engineering standards • Write clean, well-tested, and maintainable code • Help improve mobile CI/CD pipelines and release processes • Monitor application health, investigate crashes, and resolve production issues • Optimize application performance, responsiveness, and overall user experience • Contribute ideas that improve developer experience, architecture, and engineering practices

• Build the Analytics Platform (Greenfield): Design and build our first analytical data platform on GCP (warehouse, ingestion, transformation, and orchestration). • Construct Data Pipelines: Build reliable ELT/CDC pipelines from production Postgres and .NET/C# services using GCP-native tooling (Datastream, Dataflow, Pub/Sub) and dbt for transformation. • Establish Orchestration & CI/CD: Set up workflows using Cloud Composer/Airflow or Dagster, alongside data CI/CD environments and automated testing. • Model Data for AI & Analytics: Create dimensional models and a documented semantic/metrics layer to serve dashboards, data analysts, and internal Claude agents with unified definitions. • Develop the AI Data Layer: Build and maintain the retrieval substrate, embeddings pipelines, and vector storage (RAG data plumbing) to keep internal and external agents grounded in fresh data. • Own Governance & Compliance: Implement data validation, lineage, observability, and PII controls appropriate for sensitive financial, donor, payments, and cross-border tax data. • Collaborate Across Teams: Partner with the AI Systems Engineer and the .NET backend team to instrument product events and ship customer-facing insights.

• Build Agent Architecture: Lead the design of agent architectures in .NET/C# (planning, memory, multi-step reasoning) and build ASP.NET Core backends with clean APIs for a React frontend. • Optimize the SDLC (Layer 1): Design agentic workflows to assist with coding, testing, and CI/CD across our .NET and React codebases; standardize internal AI developer tools. • Connect Enterprise Data (Layer 2): Build robust data ingestion, retrieval (RAG), and memory layers over internal systems. Design secure integrations (tool calling, MCP servers) so agents can take action across internal tools. • Deliver Customer Intelligence (Layer 3): Ship safe, customer-facing predictive features using customer data as context. Ensure strict data isolation, privacy, and multi-tenant security boundaries. • Set Standards & Cloud Practices: Establish org-wide standards for deploying, monitoring, and cost-optimizing agentic systems on Google Cloud Platform (GCP). • Mentor & Guide: Conduct technical reviews, make high-level decisions on model selection, and grow the engineering team's agentic systems expertise.

• Own the infrastructure. Build, maintain, and scale the systems our product runs on, with reliability and cost-efficiency as first-class concerns • Measure the non-functional. Define and track SLIs, SLOs, and error budgets for availability, latency, throughput, and scalability. Make system behavior visible and quantifiable to the whole team • Automate relentlessly. Identify and eliminate toil. Replace manual operational work with code, infrastructure-as-code, and self-healing systems • Build a seamless delivery process. Design, maintain, and improve CI/CD pipelines so engineers can ship safely and frequently with fast feedback • Collaborate across functions. Partner closely with software engineers and QA to embed reliability and quality early - through testing strategy, deployment practices, and shared ownership of production • Apply AI to operations. Use AI/AIOps to automate remediation, surface anomalies, reduce alert noise, and improve the signal quality of monitoring, reporting, and on-call • Lead incident response. Drive blameless postmortems and turn incidents into systemic improvements • Set the standard. Define reliability and operational best practices, and mentor engineers across the team to raise the bar

• Analyze business requirements, user stories, and technical specifications to define testing scope • Create, maintain, and execute test plans, test cases, and test scenarios • Perform functional, regression, integration, and end-to-end testing • Identify, document, and track software defects through to resolution • Participate in defect triage sessions and collaborate closely with development teams • Validate new features, enhancements, and bug fixes before release • Support User Acceptance Testing (UAT) activities when required • Contribute to improving QA processes, standards, and testing practices • Collaborate with Product Owners, Developers, DevOps, and other stakeholders to ensure product quality • Participate in Agile ceremonies including sprint planning, refinement, estimation, and retrospectives • Provide clear and timely status updates on testing progress, risks, and quality metrics