Architected external API platform with API key authentication, rate limiting, and webhooks - enabling B2B integrations and opening new revenue channels

Built production ETL pipeline using Dagster, GCP Pub/Sub, and Eventarc - processing 2M+ events daily with automatic failover and self-healing

Developed frontend applications from scratch including real-time logs viewer, API key management, and investigation tools using React and gRPC-web

Implemented serverless batch processing with Cloud Run Jobs, reducing costs by 70% while maintaining SLAs

Managed infrastructure as code using Terraform for GCP resources, IAM policies, and multi-environment deployments

Created comprehensive monitoring with Datadog and Slack integration, catching issues before customer impact

Built high-performance Go microservices with gRPC handling 100K+ RPS at sub-50ms latency

Developed and maintained Go microservices using gRPC for high-performance data processing and complex business logic implementation

Led technical migration from Go to Python backend services, ensuring zero downtime and improving developer velocity by 40%

Built distributed web scraping architecture on AWS processing 10M+ products daily with intelligent retry logic and fault tolerance

Reduced infrastructure costs by 45% through auto-scaling optimization and efficient resource allocation while handling 3x traffic growth

Containerized applications with Docker and deployed on Kubernetes, achieving rolling updates with 15-second rollback capability

Implemented comprehensive data quality monitoring with anomaly detection, preventing data corruption in production analytics

Implemented microservices architecture, handling complex data processing and API integrations with Oracle DB and Sybase IQ databases.

Enhanced application security and user management by implementing JWT authentication and Redis for session management.

Contributed to systems design and architecture, ensuring high availability and performance of deployed applications on AWS.

Integrated CMS tools like Adobe AEM for content management, improving the user experience and content delivery.

Improved data processing workflows using Spark, leading to significant performance enhancements in data-driven applications.

Boosted user engagement by implementing push notifications using Google FCM within the React frontend.

Leveraged Drools for business rule management, enhancing decision-making processes within the application.

Managed databases, including MongoDB and Oracle DB, for data persistence and real-time data processing.

Implemented advanced search capabilities using Solr, enhancing the application's data retrieval speed and accuracy.