Igor Likhatskyi

Designed and developed a business solution for a startup, utilizing microservice architecture, event-driven principles, and cloud-native technologies from inception to production. Expertise in Golang, RESTful APIs, and gRPC. Leveraged advanced AWS and DevOps expertise to build and operate cloud infrastructure, utilizing a full range of AWS managed services, containerization, orchestration, and operational best practices. Led startup initiatives by establishing corporate IT and engineering foundations, introducing cloud landing zone patterns, environment rollouts, and scalable platform baselines. Developed and implemented CI/CD and release automation with GitHub Actions, significantly improving delivery speed, enforcing quality gates, and ensuring reproducible deployments. Applied design patterns with microservice and event-driven architectures to build reliable distributed systems, supporting complex messaging and asynchronous workflows. Provided engineering leadership through code reviews, technical design discussions, mentoring, and technical interviews, scaling team capabilities and maintaining high standards. Explored AI-assisted coding methodologies and agent-oriented workflows to enhance developer productivity and accelerate system implementation through practical adoption. Designed a database immutability framework enforcing non-destructive modifications, using append-only records with soft delete and versioned updates. Instituted SQL unit testing

Architected and delivered microservice-based backend solutions leveraging Go, .NET Core, and Java, emphasizing clear service boundaries, API contracts, reliability, and maintainable deployment patterns. Led the migration of existing services from AWS to on-premises infrastructure, designing the target solution architecture and developing comprehensive step-by-step migration runbooks, defining rollout/rollback strategies to mitigate operational risks and ensure business continuity during transitions. Constructed and maintained comprehensive data pipelines end-to-end, integrating Python-based workflows with Apache Airflow (DAG design,

scheduling, retries/backfills, dependency management), enhancing data flow reliability and pipeline observability. Oversaw cross-team integration efforts for new software adoption, coordinating dependencies across departments, aligning timelines and responsibilities, and ensuring a smooth transition to operations with thoroughly documented procedures and support readiness. Enhanced engineering execution and communication via regular technical syncs, clear status reporting, and structured decision-making (trade-offs, risks, next steps), fostering transparency and reducing delivery friction. Managed and mentored a team engaged in migration and platform work, including technicians and operations stakeholders, facilitating task breakdowns, prioritization, and quality control to ensure consistent outcomes.

Devised and operated robust data pipelines incorporating Kafka, Go, Flink, BigQuery, and PostgreSQL, guaranteeing reliable ingestion and processing for high-volume workloads. Constructed and scaled high-load distributed systems utilizing microservice architectures across .NET Core, Go, and Java, with a focus on performance, fault tolerance, and maintainability. Managed cloud infrastructure on AWS using Terraform and Helm, enhancing scalability and availability through effective Kubernetes orchestration and load-balancing strategies to accommodate peak traffic. Established production-grade CI/CD pipelines and observability practices, automating quality delivery processes, alongside monitoring and alerting using Prometheus, Grafana, and Jaeger; conducted regular system audits to support operational compliance.