PostgreSQL Resume
A battle-tested LaTeX template for database-heavy roles. Clean, ATS-optimized, and focused on the technical depth hiring managers expect for a PostgreSQL resume.
Sofia Anderson
sofia.anderson@outlook.com • +1 (731) 980-1051 • github.com/sofiaanderso • linkedin.com/in/sofia-anderson
Education
Technical Skills
Languages: SQL (PL/pgSQL), Python, Go, Java, Ruby, C++
Frameworks: SQLAlchemy, Django ORM, Hibernate, gRPC, Spring Boot, Pytest
Tools: PostgreSQL (12-16), PGBouncer, Patroni, AWS Aurora, Terraform, Grafana, Datadog
Professional Experience
- Led the partitioning of a 6TB ledger table into monthly shards, reducing autovacuum-related CPU spikes by 45% and improving query performance for historical data by 4x.
- Designed and deployed a custom PGBouncer configuration to manage 15,000+ concurrent connections across 200 microservices, eliminating connection exhaustion errors during peak traffic.
- Optimized high-traffic financial reporting queries by implementing GIN and BRIN indexes, reducing p99 latency from 2.5 seconds to under 200ms for Square's merchant dashboard.
- Managed the zero-downtime migration of a mission-critical wallet service from MySQL to PostgreSQL, ensuring data consistency for 12M+ active accounts using logical replication.
- Developed a Python-based automated failover testing suite that validated Patroni cluster health, reducing Mean Time to Recovery (MTTR) by 30% during regional AWS outages.
Projects
- Built an open-source tool that visualizes PostgreSQL lock contention and bloat in real-time, currently used by 500+ developers to debug production performance issues.
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Write Bullets That Prove You Understand Database Internals
Stop listing 'SQL' as a generic skill and start showing how you handle locks, concurrency, and performance at scale.
❌ Vague/Generic
Worked on improving database performance and wrote SQL queries for the backend.
✓ Impact-Focused
Reduced database IOPS by 35% by rewriting inefficient CTEs and implementing partial indexes on a 500M row transaction table.
Copied!Why it works: The strong version identifies the specific technical problem (IOPS/CTEs) and quantifies the scale (500M rows) and the result (35% reduction).
❌ Task-Focused
Set up a PostgreSQL cluster with replication for a new application.
✓ Results-Driven
Architected a highly available PostgreSQL cluster using Patroni and Etcd, achieving 99.995% uptime and enabling automated cross-region failover.
Copied!Why it works: It moves from 'doing a task' to 'achieving a business outcome' (uptime) while mentioning specific industry-standard tools.
❌ No Metrics
Cleaned up old data to make the database run faster.
✓ Quantified Achievement
Reclaimed 1.2TB of disk space by identifying and removing dead tuples through aggressive vacuum tuning and index de-bloating.
Copied!Why it works: It uses concrete numbers (1.2TB) and specific PostgreSQL terminology (dead tuples, vacuum tuning) that signals expertise.
❌ Passive Voice
Responsibilities included monitoring the database and fixing slow queries.
✓ Action-Oriented
Established a Datadog-based monitoring system for PostgreSQL slow logs, proactively identifying and fixing 15+ N+1 query patterns before they impacted production.
Copied!Why it works: It shows proactive ownership rather than reactive maintenance, and specifically names the problem (N+1 patterns).
Common Questions About Database Engineer Resumes
Practical advice on highlighting your PostgreSQL expertise based on hundreds of interviews at Square and Coinbase.
How deep should I go into PostgreSQL internals on my resume?
If you're applying for senior or staff roles, deep is better. Don't just say you use Postgres; mention specific features like WAL tuning, JSONB indexing strategies, or Row Level Security (RLS). This proves you aren't just treating the database as a black box.
What's the most important metric to include for a database-heavy role?
Latency (p95/p99) and Scale (TPS or data volume) are king. Hiring managers want to know if you've handled gigabytes or terabytes, and if you know how to keep queries fast when the table grows beyond what fits in memory.
Is it worth mentioning specific PostgreSQL versions?
Yes. Knowing the difference between version 11 and 15 (like improvements in logical replication or parallel query execution) shows you stay current with the ecosystem. It's a subtle signal of a dedicated engineer.
How do I handle a 'PostgreSQL Resume' if most of my work was with an ORM?
Even if you used SQLAlchemy or Hibernate, focus on the underlying SQL generated. Mention how you optimized the ORM's output, handled connection pooling, or managed migrations. Understanding what the ORM does to the database is more important than knowing the ORM syntax itself.
What are the biggest red flags on a database engineer's resume?
Generic bullets like 'Optimized SQL queries' without saying how. If I don't see words like EXPLAIN, ANALYZE, Index, or Partitioning, I assume the candidate doesn't actually know how to fix a slow database.
Should I include side projects if they aren't 'production' scale?
Absolutely, if they demonstrate technical curiosity. A project where you wrote a custom Postgres extension or benchmarked different indexing strategies is much more valuable than another generic 'To-Do list' app.
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