Prioritize Tasks: Use a priority matrix to identify critical tasks that align with business goals. Focus on high-impact features first. Agile Methodology: Implement agile practices to adapt quickly to changing requirements. Break projects into manageable sprints for better resource allocation. Automation: Automate repetitive tasks (e.g., backups, monitoring) to save time and reduce errors. Use tools for automated testing to ensure quality. Resource Allocation: Leverage cloud services for scalability without heavy investment. Cross-train team members to cover multiple roles. Stakeholder Communication: Maintain open lines of communication with stakeholders to manage expectations. Regularly update them on progress and potential challenges.

Practical examples of working with Databases: -Build a Migration process for data that sync's daily - go live whenever you want. -Transform data to text including base64 encoded binary , it simplifies the transforms for migration - script mapping and creation of tables -ADF export JSON, replicate for all other tables - quicker & more accurate than the UI - Establish MVP for delivery: eg a text box stores a ABN number, later make a call out to the ABN API to validate and return more data - AI can read a UI image and generate the HTML, the database schema, the API Controller, embrace the technology. Full code Apps become no Code Apps -Implement a DevOps where the delivery of the project is a team responsibility and not down to an individual

- Prioritize tasks based on impact and urgency. - Optimize project design for efficiency and scalability. - Maintain clear communication with the team. - Make strategic trade-offs to balance performance, cost, and timelines.

Optimización de Consultas SQL Indexación Inteligente Particionamiento de Tablas Uso de Caché y Materialized Views Pool de Conexiones con PgBouncer Monitoreo y Métricas en Tiempo Real Estrategia de Replicación Optimización de Configuración y Recursos