Engineer

• Analyze ingestion and transformation workloads to identify performance bottlenecks and inefficiencies
• Evaluate the use of Citus vs. native PostgreSQL features, especially in single-node setups
• Conduct performance experiments comparing columnar and row-based storage
• Optimize query planning, indexing, parallelization, and memory/I/O usage
• Develop improved ingestion and transformation patterns using PostgreSQL and Citus features
• Set up and enhance observability tools (e.g., pg_stat_statements, auto_explain, pgBadger)
• Deliver actionable recommendations to improve performance, scalability, and maintainability

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