Eduardo Gudiño Email & Phone Number

Menlo Park, California, United States

• Interacted with MySQL databases using Python: Developed and maintained efficient database connections and queries using Python to manage and retrieve data from MySQL databases.• Created APIs to retrieve information from databases using the FastAPI framework: Built APIs with FastAPI to allow seamless access and retrieval of data from MySQL databases, ensuring fast and secure communication between applications.• Implemented Docker containers for creating portable and consistent applications: Utilized Docker containers to develop and deploy portable applications, ensuring consistency across different environments and simplifying the deployment process.

Menlo Park, California, United States

• Developed services for process automation using Docker containers with Python: Implemented efficient automation solutions by leveraging Docker containers, ensuring streamlined processes and scalability through Python-based services.• Automated the execution of various processes: Designed and implemented scripts to automatically execute routine tasks, reducing manual effort and increasing operational efficiency.• Created APIs: Developed robust and scalable APIs to facilitate data communication between applications and services, ensuring seamless integration and efficient data handling.• Utilized frameworks like Scrapy and Selenium for web data extraction using Python: Built web scraping solutions using Scrapy and Selenium to extract, process, and collect data from websites, automating complex data-gathering tasks.• Recognized patterns through the use of regular expressions: Applied regular expressions to identify and extract specific patterns from datasets, ensuring accurate data processing and transformation.• Managed data with Pandas: Utilized the Pandas library to manipulate, clean, and analyze large datasets, enabling more effective data handling and insights.

• Build queries to retrieve data from databases: Design and execute SQL queries to extract and analyze data from relational databases, ensuring efficient data retrieval for various business needs.• Use Lambda functions for business logic processes: Implement AWS Lambda functions to handle serverless business logic, enabling real-time data processing and reducing infrastructure overhead.• Use CloudWatch to gain insights on resource usage and thresholds: Monitor and analyze application and infrastructure performance using Amazon CloudWatch, setting up alerts and dashboards to track resource utilization and system health.• Configure API endpoints using API Gateway in Amazon Web Services: Set up and manage API endpoints via AWS API Gateway, ensuring secure and scalable communication between applications and services.• Automate processes with Jenkins: Leverage Jenkins to automate build and deployment pipelines.