Joseph Karl Crisostomo

joseph.dev.ph@gmail.com · +63 960 4431 908 · Manila, PH (UTC+8, overlaps US hours daily) · Portfolio Site

June 27, 2026

Dear Hiring Team,

Your posting describes exactly the kind of work I enjoy most: standing up a relational database on AWS that ingests CSV files on its own and serves clean, optimized SQL views ready for reporting. The emphasis on automation, performance, and AWS best practices — rather than a quick throwaway setup — is what drew me in.

At the Department of Science and Technology, I ran Amazon RDS as the core database behind containerized services on AWS. I optimized slow queries through in-depth inspection and root-cause analysis, and I automated infrastructure provisioning with CloudFormation alongside an S3-, CodeBuild-, and ECR-based build pipeline. That covers both the database administration and the Infrastructure-as-Code experience your scope mentions as a plus.

On Aqualytix, a production PostgreSQL platform I built and deployed solo, I used S3 for file storage and configured AWS CloudWatch for metrics, logs, and five alarms with SNS email alerting. So the monitoring, backup, and operational pieces your project calls for are things I have already put into production, not theory.

For your CSV-to-reporting flow, I would deploy RDS with a well-indexed schema and SQL views, automate ingestion from S3 with Python, then lock down IAM access controls, backups, and CloudWatch monitoring — delivering each piece in small, demoable steps so you can see progress and steer early.

I would welcome a short call to learn your data shape and CSV format, and to sketch the schema with you.

Warm regards,

Joseph Karl Crisostomo