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Schedule Interview NowMy name is Emanuel C. and I have over 1 year years of experience in the tech industry. I specialize in the following technologies: PostgreSQL, MySQL, Python, Microsoft SQL Server, Database, etc.. I hold a degree in . Some of the notable projects I’ve worked on include: Go Testcontainers for Postgres, Babelfish on Docker, Postgres Pooling Terraform Laboratory and Benchmark, Postgres Benchmark: Crypto Algorithms performance. I am based in Madrid, Spain. I've successfully completed 4 projects while developing at Softaims.
I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.
I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.
I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.
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This sandbox code was intended to customize Postgres images for ephemeral testing in Golang. One of the examples include a basic model related to IoT using Timescale as a persistence layer.
The objective of this study was to determine the best pooling architecture for an orchestrated Kubernetes environment. At that time, the most popular solutions for Postgres pooling were PgBouncer (single-threaded service) and Odyssey (multi-worker process). The architecture was tested in a provisioned and deployed in an AWS environment, isolating any potential noises from running in a local environment. Also, it was intended to provide Terraform examples of how to deploy these services straightforwardly. The results, conclusions and code, can be found at the link of the project.
For a customer's project we needed to implement encryption at the data level for certain columns. So, we decided to conduct a benchmark for studying the CPU consumption of the available crypto algorithms in Postgres.
in Developer Analyst
2002-01-01-2004-01-01