Ilya Zdesenko
NodeJS Developer
20+ years exp
20+ projects
PHP
SQL
Bash
Perl
Python
JavaScript
Ruby
Node JS
Data Layer & Database: 4/10
Active 19 days ago
+7 (918) 5074731 Invite to interview
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Overview
Technical skills
Timeline
Roles
Overview
A backend-focused API engineer at a middle level who independently implements end-to-end features for a web app. The strongest proven skill is practical data ingestion and persistence - evidenced by scripts/lib.ts performing paginated fetches plus ProfileModel.bulkWrite(upsert) and the app/model.ts schema with explicit indexes. The public code shows limited production-grade practices - missing are migrations, structured observability, authentication, input hardening, retries/backoff and documented API contracts.
Technical skills
PHP• Senior • 20y+
SQL• Senior • 20y+ • 20+ projects
Bash• Middle • 20y+
Perl• Senior • 18y+ • 5+ projects
Python• Middle • 18y+ • 1 project
JavaScript• Senior • 18y+ • 20+ projects
Ruby• Middle • 17y+ • 1 project
Node JS• Senior • 14y+ • 5+ projects
Databases
MySQL• 20y+ • 20+ projects
CouchDB• 16y+ • 1 project
MongoDB• 14y+ • 3 projects
ElasticSearch• 11y+
PostgreSQL• 10y+ • 5+ projects
Apache Kafka• 5y+ • 1 project
DevOps
Rest API
Git• 19y+ • 20+ projects
Nginx• 16y+ • 20+ projects
Docker• 11y+ • 10+ projects
Frontend
JQuery• 18y+ • 20+ projects
Vue.js• 5y+ • 2 projects
Timeline
Lead Developer
•
Lead
Rostelecom
•
Full-Time
Developed new modules and extensions for a custom OTRS enterprise fork and performed refactoring of legacy components. Fixed complex architectural issues and bugs to improve platform stability, and carried out code reviews and unit testing. Participated in task planning, decomposed requirements, proposed technical solutions, and advised clients directly on integration matters.
Perl
PostgreSQL
ElasticSearch
Git
Docker
Apache Kafka
Backend Developer
•
Middle
BotHelp
•
Full-Time
Built new backend services from scratch based on business requirements. Migrated existing functionality from PHP to Node.js as part of a legacy modernization effort.
Node JS
PHP
Backend Developer
•
Middle
AppFollow
•
Full-Time
Developed and maintained services that collect app store reviews, ratings and metrics. Designed and optimized MySQL queries for large volumes of textual data, and implemented reliable scheduled parsing using cron jobs. Fixed issues in existing Perl code to keep parsers and backend logic stable.
Perl
Mojolicious
MySQL
Bash
Lead Programmer
•
Lead
Ucoz Media
•
Full-Time
Designed and implemented the architecture of a web-service ecosystem using Node.js and Perl (Mojolicious) and supported it with MongoDB. Managed a development team by distributing tasks, improving delivery processes, and monitoring code quality. Automated deployment and administration using Bash and Docker, and implemented resilient third-party API integrations for user authentication and monetization.
Node JSsince 2012
Express
Perl
Mojolicioussince 2012
Git
Dockersince 2012
Bashsince 2012
JavaScript
Web Developer
•
Middle
3W Web Studio
•
Full-Time
Developed web sites and prepared technical specifications for web projects. Estimated development effort and consulted clients on technical aspects throughout the application lifecycle, including creation, support and refactoring. Worked with Perl and PHP and built solutions using Drupal, InstantCMS, Joomla, JavaScript and jQuery.
Perlsince 2011
PHPsince 2011
Drupal
JQuery
JavaScript
Server Logic Developer
•
Middle
Shinytales
•
Full-Time
Developed server-side logic for a browser game. Worked with Linux and Nginx-based infrastructure and implemented backend components using Python and CouchDB.
Nginx
CouchDB
Python
Web Developer
•
Middle
VebStroi Web Agency
•
Full-Time
Programmed modules for a corporate engine and developed websites. Used Ruby and JavaScript (including jQuery) and supported development workflows with Git, while working with Linux servers and XML/AJAX-based features.
Ruby
JavaScriptsince 2008
JQuerysince 2008
Gitsince 2008
Southern Federal University
Master's Degree •
Applied Mathematics and Computer Science
Junior Backend Developer
Confidence: Medium API Engineer
A backend-focused API engineer at a middle level who independently implements end-to-end features for a web app. The strongest proven skill is practical data ingestion and persistence - evidenced by scripts/lib.ts performing paginated fetches plus ProfileModel.bulkWrite(upsert) and the app/model.ts schema with explicit indexes. The public code shows limited production-grade practices - missing are migrations, structured observability, authentication, input hardening, retries/backoff and documented API contracts.
API Design
2/10
How well APIs are designed
Basic REST endpoint exists and is consumed by the frontend, but there is no versioning, pagination, consistent error contract, idempotency handling or documented API schema; API design is minimal and tailored to a single feature.
Evidence
app/app.ts: app.get('/q', async (req, res) => { const profiles = await ProfileModel.findByName(req.query.name); res.json({data: profiles}); })
front/src/App.js: fetch(url).then(data => data.json()).then(res => this.setState({ profiles: res.data }));
Data Layer & Database
4/10
Working with databases
Concrete DB model with indexes, unique constraints and a custom static finder are present and the ingestion uses bulkWrite with upserts - showing practical data-layer awareness; however there is no migration history, transaction usage, explicit isolation handling or advanced query tuning.
Evidence
app/model.ts: ProfileSchema.index({id: 1}, {unique: 1}); ProfileSchema.index({email: 1}, {unique: 1});
app/model.ts: ProfileSchema.statics.findByName = async function(name: string) { ... }
scripts/lib.ts: ProfileModel.bulkWrite(... upsert ...)
Scalability & Performance
3/10
Handling load and speed
Some performance-conscious choices (indexes, bulkWrite upserts) and a background loader are implemented, but there is no caching strategy, no invalidation, no rate limiting, no connection pooling detail or documented load strategy.
Evidence
app/model.ts: indexes defined on id and email
scripts/lib.ts: use of ProfileModel.bulkWrite(...) for batched upsert
app/app.ts: spawn background process loadProfiles invoked on a timer
System Architecture
3/10
Overall system structure
Project has clear module separation (app, scripts, front) and a simple background worker approach, showing basic service decomposition for frontend/backend/ingest; architecture is small-scale and lacks config/secret management, service contracts, or fault isolation beyond separate processes.
Evidence
project structure: front/, app/, scripts/ (separation of responsibilities)
app/app.ts: uses spawn('node', [spath]) to run scripts/load_profiles.js as a background process
Security & Auth
1/10
Protecting data and access
Minimal security posture - CORS is enabled broadly and there is no authentication or input validation at the HTTP boundary; user input is interpolated into regexes without defensive limits which may risk ReDoS or unexpected behavior.
Evidence
app/app.ts: app.use(cors());
app/model.ts: const qname = name.split(/\s+/).map((word: string) => new RegExp(`^${word.toLowerCase()}`, 'i'));
Reliability & Observability
2/10
Stability and monitoring
Basic runtime logging and child-process event handlers are present, but there is no structured logging, no metrics, no retries/backoff, no timeouts, and no graceful shutdown/health checks.
Evidence
app/app.ts: cp.stdout.on('data', ...); cp.stderr.on('data', ...); cp.on('close', code => ...); cp.on('error', err => ...)
scripts/lib.ts: fetchProfiles uses axios.get but there is no try/catch or retry logic around network calls
Expertise
Node.js• Junior
Databases & Vector Storage• Junior
Technologies
Rest API
Express• mentioned only
Mongoose• mentioned only
Recommendations
- Focus on building REST API endpoints with robust input validation, consistent error contracts and versioning - expand the current /q endpoint with pagination and explicit response schemas.
- Harden data ingestion: add error handling, retries with exponential backoff, bounded concurrency and logging/metrics for the load_profiles process.
- Add basic security and operational practices: authentication/authorization, limit user-driven regex creation or sanitize/limit inputs to prevent ReDoS, and introduce structured logging plus health checks.
- Introduce schema migration tooling and at least one migration file history for schema evolution rather than relying solely on model changes at runtime.
Repositories
The developer's experience in this domain has been verified based on AI analysis of the following repositories: