Victor D.

With three decades of experience in IT systems - including 20 years focused on backend engineering for high-availability, high-load applications - I specialize in designing, implementing and optimizing scalable, fault-tolerant architectures. My work spans real-time data processing, microservices modernization, and cloud-based distributed systems, with an emphasis on clean, maintainable, and rigorously tested solutions.

Core Technical Expertise:
Languages & Frameworks:
- Java, Kotlin, Groovy
- Spring Boot, Dropwizard, Micronaut, Quarkus

Databases & Storage:
- Relational: PostgreSQL, MySQL
- NoSQL: MongoDB, DynamoDB
- In-Memory/Caching: Redis, Hazelcast

Cloud & Infrastructure:

• AWS (EC2, S3, RDS, EKS, ECS, Lambda, SQS, SNS)
• Containerization & Orchestration: Docker, Kubernetes, Istio

Messaging & Event-Driven Systems: Kafka, RabbitMQ, AWS SQS/SNS

Testing & Reliability:
- Test-Driven Development (TDD)
- Unit, Integration, Performance, and Stress Testing (JMeter, Gatling, custom tooling)

Selected Career Highlights:

Real-Time Social Media Analytics Platform (2016 US Election): Designed and implemented an AWS-based system processing 10M+ tweets/day with sub-second latency, handling bursts of 1,000+ events/sec without data loss.

Upwork Core Services Modernization: Led migration from a monolithic legacy system to set of microservices, reducing offer creation time from 10-15s to less than 1s. Improved system throughput 10x while reducing maintenance overhead. Implemented comprehensive test suites (unit, integration, load) to ensure stability.

Development Philosophy:
Strong emphasis on testing and maintainability: Every system I build incorporates TDD, performance benchmarking, and failure simulation to ensure robustness.