Barkhayot Juraev

Engineered a Go-based internal task scheduler, automating data workflows across 20+ services and processing over 100K jobs in under 35 seconds with 99.99% reliability.

Automated end-to-end data ingestion, incorporating robust retry and fallback logic to significantly reduce human monitoring efforts.

Refactored core concurrency logic, resolving memory leaks, enabling horizontal scaling, and decreasing infrastructure overhead by 70%.

Enhanced SaaS integration pipelines and instrumented comprehensive system health monitoring using ClickHouse and Prometheus.

Automated critical third-party integrations for food vendors using Django REST APIs and scraping workflows, significantly reducing order failures.

Developed asynchronous task queues with Celery and Redis, boosting system throughput by 5x with minimal latency.

Migrated core infrastructure to AWS (EC2, RDS, S3) and deployed auto-scaling CI/CD pipelines, enhancing support ticket resolution efficiency.

Developed robust backend integrations using AWS Lambda (Python) to efficiently fetch, transform, and store SaaS data in DynamoDB.

Implemented cron-based automation with serverless logic, substantially reducing manual API synchronization efforts.

Delivered internal automation tools for warehouse tracking and product inventory, reducing manual checks by 50%.

Built critical ticketing system integrations (Jira) to streamline internal support workflows and improve operational efficiency.

Established CI/CD automation using Jenkins, ensuring reliable and fast software deployments.