Saul Francisco Acuña Godoy

Software engineer and data architect with over 10 years of experience in automation, integration, and advanced analytics. Specialist in ETL process orchestration in Python and Airflow, microservices development, scraping, and handling multiple external sources and APIs, including cloud service integration. Expert in infrastructures with Docker, ClickHouse, MySQL, ELK (Elasticsearch, Logstash, Kibana), Grafana, and Tableau, managing everything from legacy system migrations to dashboard development and business analysis.

I have experience in vector databases (Qdrant, Elasticsearch), text vectorization, and designing systems for interaction with AI models, using artificial intelligence APIs for semantic analysis and recommendation systems. I develop data pipelines for enrichment and entity extraction, implementing solutions that connect natural language processing (NLP), machine learning, and automation, applying these approaches to reporting, trading automation projects, monitoring, and real-time analysis.

I have deployed infrastructures in Docker Swarm and Kubernetes, and I manage CI/CD processes with Bitbucket and GitLab. I combine business analysis skills, technical documentation, team leadership, and support, always seeking efficiency, scalability, and sustainability.

I hold an MSc in Computer Engineering, with experience in media and multidisciplinary projects, and a critical view on the social impact of technology. I speak Spanish, English, and Guarani, understand Catalan, Portuguese, and Italian, and adapt well to multicultural teams.

If you are looking to connect business vision with technical reality, apply AI to data processes, automate and modernize infrastructures, I can provide innovative solutions in migration, semantic analysis, reporting, integration, and advanced automation.

Custom Software Development: # Design and development of custom web and mobile applications. # Creation of RESTful APIs for system and application integration. #Technology ConsultingAdvising on digitalization and digital transformation strategies. # Audit of technological infrastructures and recommendations for improvement. Data Engineering and Analytics: # Design and implementation of data architectures for large volumes of information. # ETL services and data migration between different storage systems. # Data analysis and report generation for data-driven decision-making. Machine Learning and Artificial Intelligence: # Development of machine learning models for predictive analysis and process automation. # Implementation of AI solutions to improve user interaction and personalization. #Integration and Process AutomationAutomation of workflows and business processes using tools like Airflow. # System integration to improve operational efficiency. Application Optimization and Scalability: # Review and optimization of existing applications to improve performance and scalability. # Migration of applications to microservices-based architectures. Legacy System Maintenance: # Update and modernization of legacy systems. # Encapsulation of functionalities from old systems into microservices. Cloud Computing Solutions: # Implementation and management of cloud infrastructures. # Optimization of cloud resources for cost and performance efficiency.

I currently focus on Data Analysis and processes in Python, utilizing the AWS suite of tools, managing data flow with MySQL, AWS Redshift, Postgres, MongoDB, Redis, S3, SQS, among other services and tools. Additionally, I apply microservices like Kubernetes and Docker in all projects. I develop processes with ETLs for massive data flows using workflow management platforms like Airflow. I work daily in Agile environments with Scrum and am currently finishing my Master's in Computer Engineering.