
Julian Mayorga developed a Go-to-Market demo environment for the hasura/axiom repository, focusing on enabling realistic demonstrations and robust testing workflows. He architected a Docker Compose stack integrating PostgreSQL, pgvector, Redis, and Hasura plugins to support caching and REST endpoints. To ensure the environment reflected real-world scenarios, Julian wrote Python scripts that generated synthetic Salesforce and Clari data, seeding the databases for comprehensive demos and QA. His work provided a reproducible, configurable setup that accelerates sales demonstrations and improves testing fidelity. The project demonstrated depth in API integration, data generation, and container orchestration, addressing practical needs for demo environments.
March 2025 monthly summary: Delivered a Go-to-Market (GTM) Demo Environment for Hasura Axiom, enabling realistic demos and testing with a full Docker Compose stack (PostgreSQL, pgvector, Redis) and Hasura plugins for caching and REST endpoints, plus Python scripts to generate synthetic data for Salesforce and Clari to seed the databases for testing and demonstrations. Commit f88f00ebb6612becba4ace2306fc4f7347ba06e4 (Adds the GTM demo). No major bugs fixed this period. Overall impact: accelerates sales demonstrations, improves testing fidelity, and provides a reproducible environment for demos and QA. Technologies/skills: Docker Compose, PostgreSQL, pgvector, Redis, Hasura plugins, Python scripting, synthetic data generation.
March 2025 monthly summary: Delivered a Go-to-Market (GTM) Demo Environment for Hasura Axiom, enabling realistic demos and testing with a full Docker Compose stack (PostgreSQL, pgvector, Redis) and Hasura plugins for caching and REST endpoints, plus Python scripts to generate synthetic data for Salesforce and Clari to seed the databases for testing and demonstrations. Commit f88f00ebb6612becba4ace2306fc4f7347ba06e4 (Adds the GTM demo). No major bugs fixed this period. Overall impact: accelerates sales demonstrations, improves testing fidelity, and provides a reproducible environment for demos and QA. Technologies/skills: Docker Compose, PostgreSQL, pgvector, Redis, Hasura plugins, Python scripting, synthetic data generation.

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