Professional Resume Template for
Database Developer
Devon M. Reynolds
Denver, CO
(303) 555-0142
devon.reynolds@email.com
linkedin.com/in/devon-reynolds | github.com/devonreynolds | devonreynolds.dev
Professional Summary
Methodical Database Developer with a 5-year record of designing, optimizing, and scaling relational and NoSQL databases in cloud environments. Specializes in database schema design, index tuning, complex SQL query development, and secure ETL data pipeline engineering. Successfully reduced query latency by 38% across transactional platforms and scaled database write capacity to handle 15,000 requests per second at 99.99% uptime. Proficient in PostgreSQL, MySQL, MongoDB, and Redis, with practical expertise in AWS databases including RDS, Aurora, and DynamoDB.
Work Experience
Database Developer — Integra Health Solutions
Denver, CO | June 2023 – Present
- Architected a multi-tenant PostgreSQL database schema on AWS Aurora, handling over 8 million daily requests and reducing data storage footprint by 24% through compression and efficient data types.
- Tuned slow-running SQL queries and redesigned table indexes, which decreased average query response times by 38% for a web portal serving 120,000 active users.
- Automated daily ETL data extraction pipelines using Python and AWS Glue, processing 500 GB of healthcare data while reducing pipeline completion failures by 92%.
- Established database replication and partitioning strategies across 4 regions, boosting read throughput by 45% and ensuring 99.99% database uptime for cloud applications.
Associate Database Developer — Nexis Financial Services
Denver, CO | July 2021 – May 2023
- Designed and deployed 15 database tables and relational schemas in MySQL to support a new credit card processing module, processing $4M in transactions monthly.
- Implemented Redis caching layers for frequently accessed data, which reduced database read load by 32% and shortened page load times by 1.2 seconds for end users.
- Refactored legacy stored procedures and triggers in SQL Server, increasing transaction processing velocity by 27% and eliminating database lock contention.
- Secured sensitive financial tables by setting up role-based access control (RBAC) and column-level encryption for 2,500 database users to achieve SOC 2 compliance.
Education
Bachelor of Science in Computer Science
Colorado State University · Fort Collins, CO · 2021
Skills
PostgreSQL, MySQL, Oracle Database, SQL Server, MongoDB, Redis, Cassandra, Amazon RDS, AWS Aurora, AWS DynamoDB, SQL, PL/pgSQL, T-SQL, Python, Bash, ETL pipelines, Database design, Index tuning, Performance optimization, Query tuning, Data migration, Replication, Partitioning, Database security, SOC 2 compliance
Projects
Legacy Database Migration
Role: Lead Database Developer
Tools: PostgreSQL, AWS Aurora, Python, DMS
Architected and executed the migration of a legacy database to AWS Aurora PostgreSQL, moving 4.5 TB of data with less than 10 minutes of total downtime.
ETL Pipeline Optimization
Role: Database Developer
Tools: MySQL, Python, Apache Airflow, Redis
Redesigned data ingestion pipelines processing 800,000 events daily, reducing pipeline execution runtime by 46% and cache miss rates to under 2%.
Certifications
- Oracle Database SQL Certified Associate (1Z0-071) (2022)
- Azure Database Administrator Associate (DP-300) (2023)
- Google Cloud Professional Cloud Database Engineer (2025)
Additional information
- Languages: English (Native)
- Technical Presentations: Speaker at Denver Data Summit (2024) on PostgreSQL index tuning strategies
- Availability: 2 weeks notice
Job Market Insights
Market data and opportunities for
Database Developer
Job Market Insights
$88,000
-
$135,000
Avg:
$112,000
Growth Outlook:
The demand for Database Developers in the United States remains stable, with the U.S. Bureau of Labor Statistics forecasting a 4% growth rate for database administrators and architects from 2024 to 2034. As cloud migration and data analytics continue to expand, organizations increasingly rely on specialized database developers to model schemas and optimize query performance. AI and automated tools are streamlining routine DBA tasks, allowing developers to focus on high-impact areas like database architecture design, scalability engineering, and secure data pipeline integration.
4% growth over 10 years
Key Skills Required
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