Daniel A.

PostgreSQL Performance & Troubleshooting Slow SQL queries and execution-plan analysis Index optimization and database performance tuning Connection pooling, locking, and transaction troubleshooting Database schema design and query optimization Data Engineering & ETL Pipelines Data ingestion from APIs, SFTP, CSV, and external systems ETL/ELT pipeline development using Python and SQL PostgreSQL and ClickHouse integrations Workflow orchestration using Dagster Data validation, idempotency, retries, and failure recovery Backend Engineering Go (Golang) backend development REST APIs, microservices, and asynchronous processing Distributed systems and high-throughput workloads Observability, tracing, and performance optimization Relevant Engineering Experience Optimized PostgreSQL queries, improving performance by up to 60%. Built a notification processing system capable of handling 16 million alerts per hour. Reduced Go JSON processing memory allocations by 86%. Worked on backend infrastructure serving telecommunications workloads at large scale. Supabase