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.
• Implemented Docker containers for creating portable and consistent applications: Utilized Docker containers to develop and deploy portable applications, ensuring consistency across different environments and.

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.
• 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.
• 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.
• 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.