Architecture & modernization
Clarify system boundaries, reduce technical risk and evolve complex .NET and cloud platforms without losing delivery momentum.
Dmitrijs Taranenko · Lead .NET / Cloud Architect
Make complex .NET systems faster, safer and easier to change.
I help CTOs and engineering leaders modernize distributed platforms, eliminate production bottlenecks and regain control of delivery.
90–200 ms
selected queries, reduced from 2–4 seconds
~50%
faster deployment, from about 60 to 30 minutes
+35%
online conversion after a redesigned purchasing flow
~$40k
annual saving after replacing a third-party LMS
Profile
Hands-on architecture for difficult systems
I am a software architect and principal-level engineer with 15+ years of experience building enterprise SaaS across FinTech, EdTech, healthcare and manufacturing. I work where architecture, production reliability and implementation depth all matter.
Lead Developer, Cloud Engineer & Independent Consultant
I work as a Lead Developer / Cloud Engineer at Entrypoint while building an independent consulting and product practice through selected B2B engagements. I combine architecture ownership with hands-on delivery: tracing real code and data paths, resolving production problems, implementing targeted changes and proving them through builds, tests and operational evidence.
Systems: distributed .NET platforms, microservices, databases, integrations and cloud infrastructure.
Problems: scalability, performance, concurrency, data consistency, reliability and modernization.
Availability: one selected independent engagement at a time, with scope and delivery capacity agreed around the problem.
Based in Spain and available across Europe and internationally.
How I can help
Senior engineering ownership where it matters most
Available for focused assessments, technical investigations, implementation sprints and fractional leadership across Europe and internationally.
Production troubleshooting
Investigate performance, concurrency, data consistency, integration and reliability problems across application and infrastructure layers.
Fractional technical leadership
Provide architecture ownership, design and code review, mentoring, delivery guidance and difficult hands-on implementation.
AI-augmented engineering
Integrate coding agents into real delivery workflows with research discipline, repository conventions, testing and human verification gates.
Ways to work together
Four focused ways to move a difficult system forward
I currently accept one selected independent engagement at a time. Scope, delivery window and reserved capacity are agreed around the problem, urgency and expected outcome.
Recommended first step
Architecture & Codebase Assessment
For a complex or aging .NET system where the risks, bottlenecks and right modernization sequence are not yet clear.
20–30 focused hours*Typical delivery window: 2–4 weeks Scope confirmed after discovery
You receive
- Architecture and codebase review
- System and critical-flow map
- Risk register and bottleneck findings
- Prioritized roadmap and findings workshop
Focused investigation
Performance & Reliability Investigation
For production issues involving performance, cloud cost, concurrency, data consistency, integrations or cross-service failures.
10–20 focused hours*Typical delivery window: 1–3 weeks Scope confirmed after discovery
You receive
- Evidence-backed root-cause analysis
- Prioritized corrective actions
- Implementation and verification plan
- Optional follow-on remediation sprint
Ongoing senior ownership
Fractional Architect / Principal Engineer
For teams that need consistent senior technical leadership without immediately adding a full-time principal-level hire.
Monthly allocationCapacity by agreement Capacity confirmed after discovery
Typical scope
- Architecture and technical decisions
- Design and code review
- Mentoring and delivery guidance
- Difficult hands-on implementation
Focused implementation
Implementation Sprint
For a defined architecture, backend or cloud change that needs senior implementation without an open-ended contract.
20–40 focused hours*Typical delivery window: 3–6 weeks Scope confirmed after discovery
You receive
- Agreed production-ready change
- Implementation and automated tests
- Technical documentation
- Review and handover to the team
01Intro conversation
Clarify the problem, urgency and business context.
02Scope and evidence
Define the smallest useful engagement and success criteria.
03Delivery
Investigate, implement and verify against agreed outcomes.
04Follow-on ownership
Continue into an implementation sprint or ongoing leadership when useful.
* Typical ranges for a focused scope. Final effort and delivery window depend on system size, complexity, access and critical flows, and are confirmed before work begins. Calendar windows allow for access, feedback and verification; any scope beyond the agreement is discussed before work continues.
AI-augmented engineering
AI is the multiplier. Engineering judgment remains the control plane.
I use coding agents as a structured engineering channel for research, planning, implementation, testing and review—not as a substitute for architecture ownership or production discipline.
Research before edits
Trace real call and data paths across repositories, identify the smallest safe change surface, then implement.
Root cause over symptoms
Use cross-layer investigation and tests to expose transaction, data-integrity and concurrency defects.
Verification as a gate
Drive builds and large automated suites to green, including repeated runs exceeding 500 tests.
Controlled agentic delivery
Stop wrong assumptions, reject scope creep and keep human approval at architecture and risk boundaries.
ResearchPlanImplementVerifyReview
Vibe-coded project getting harder to change?
I analyse, repair and clean up AI-generated code.
I bring fast-built web, .NET, backend and cloud projects under engineering control: fix fragile behaviour, remove duplicated and contradictory code, restore clear structure and add meaningful tests.
01 Reproduce, trace and prioritize
02 Initial cleanup: 20–30 focused hours* · typical delivery window: 2–4 weeks
* Final scope is confirmed after repository discovery.
Selected case studies
Architecture ownership translated into measurable outcomes
Two examples of hands-on architecture and implementation across enterprise FinTech and EdTech systems.
Enterprise FinTech engagement
Distributed commercial real-estate platform
90–200 msselected queries, from 2–4s
~50%faster deployment
~10%lower AWS cost
Context
An AWS-based portfolio-management platform spanning 40+ microservices and supporting 120,000+ loans and 40,000+ commercial real-estate transactions.
My ownership
Over 18 months, I worked across UI and backend delivery. I built the complete Rolodex module for managing clients, accounts and access to content, and separately developed a module for managing commercial real-estate portfolios. I also repaired financial metric calculators, implemented and corrected user interfaces, and contributed to system design.
Engineering decisions
Designed controllers, APIs, system modules and concurrent processing. Combined serverless architecture, Redis caching, database optimization and infrastructure right-sizing across performance-sensitive flows.
Enterprise EdTech engagement
Enterprise learning and content platform
+35%online conversion
~$40kannual saving
10kdaily logins
Context
A legacy platform needed a modern architecture capable of supporting 70,000+ users and approximately 10,000 daily logins.
My ownership
I led system design and worked hands-on with one other developer across a custom LMS, real-time collaborative editing of shared SVG content, user and content administration, a content gallery, and a redesigned purchasing experience.
Engineering decisions
Designed the replacement platform and buying flow, introduced scalable real-time collaboration, established secure-development practices, and prepared the system for annual SOC 2 audits and penetration testing.
Client-side recommendation
Trusted as an embedded engineering partner
“I've had the pleasure of working with Dmitri on numerous projects, and I can confidently attest to his exceptional skillset and dedication to delivering high-quality solutions. His strong communication skills and collaborative mindset make him an invaluable asset to any team.”
Free architecture resource
Architecture Assessment Checklist for Complex .NET Systems
A practical 10-point framework for identifying architecture risk, production bottlenecks and the safest modernization sequence before committing to a rewrite or major migration.
Open the checklistTechnical depth
Built around backend and cloud systems
A broad delivery toolkit anchored in C#/.NET, AWS, distributed systems and production engineering.
Architecture & backend
C# · .NET · ASP.NET Core · Web API · Distributed Systems · Microservices · REST · gRPC · Entity Framework · Dapper · SignalR
Cloud & infrastructure
AWS · Azure · Kubernetes · Docker · Helm · Serverless Architecture · CI/CD · Lambda · SQS · Cognito · IAM · S3
Data & reliability
PostgreSQL · SQL Server · MySQL · DynamoDB · MongoDB · Redis · Performance · Scalability · Concurrency · Data Consistency
Delivery & observability
GitHub Actions · Azure DevOps · Harness · Datadog · Splunk · Git · SOC 2 · Secure Coding · Production Troubleshooting
Supporting credentials
Education & certifications
Bachelor of Computer Science
Daugavpils University · 2010–2014
Microsoft Certified Professional
Microsoft
IBM Cybersecurity Analyst
IBM
Google Project Management
Meta Front-End Developer
Meta
Frequently asked questions
Working with a Lead .NET & Cloud Architect
Direct answers about fit, engagement models, delivery approach and location.
What problems do you help engineering teams solve?
I help teams assess and modernize complex .NET systems, resolve production performance and reliability problems, improve distributed architectures and provide senior technical ownership where architecture and hands-on delivery must stay connected.
What is the best way to start?
For an unfamiliar or aging system, an Architecture & Codebase Assessment is usually the clearest first step. For an active incident or persistent production issue, start with a focused Performance & Reliability Investigation.
Do you offer ongoing technical leadership?
Yes. I work as a fractional architect or principal engineer for teams needing ongoing architecture decisions, design and code review, mentoring, delivery guidance and difficult hands-on implementation.
How do you use AI in software delivery?
I use coding agents for structured research, planning, implementation, testing and review. Architecture ownership, risk decisions and production verification remain human-controlled, with evidence and tests used as delivery gates.
Where are you based, and do you work remotely?
I am based in Spain and work remotely with clients across Europe and internationally. I accept one selected independent engagement at a time across assessments, investigations, implementation sprints and fractional leadership.
How is pricing determined?
Pricing follows an initial discovery conversation and depends on scope, urgency, technical risk and the most suitable commercial model. Assessments, focused investigations, monthly allocations and implementation sprints have different shapes.
Start a conversation
Bring me the engineering problem that needs senior ownership
Share the system, constraint or delivery challenge. I currently accept one selected independent engagement at a time.
Location
Spain · Europe · International remote
Available across time zones
Remote-first collaboration with clear written decisions, structured delivery and direct technical ownership.