Responsible for full lifecycle Mulesoft application management in both API and Integration solutions. Worked alongside a team of Senior Mulesoft Developers, Architects, and business requirement experts in the development of multiple applications. Developed Mulesoft flows following best practices and design patterns for error handling, logging, and testing with MUnits that covered 70%+ of each Mule application, as well as provided documentation.Highly skilled with DataWeave code from a functional and LISP programming perspective for data Transformation and validation across multiple formats in XML, JSON, CSV, EDI, FFD from the banking industry including SWIFT, Fiserv, MAXX, Q2, etc.Integrated data from multiple connectors such like HTTP(s), SFTP, IBM MQ, AWS Buckets, SQL servers, etc.Programmed multiple SQL Stored Procedures and Triggers in PostgreSQL for storing incoming data from Mulesoft applications. Deployed multiple Mulesoft applications via CI/CD using Azure DevOps, Azure Repo, Git. to multiple environments from development all the way through to production in Cloudhub. Closely monitored the console and efficiently handled any and all errors and deployed fixed versions.Performed peer code reviews on a weekly basis, as well as provided support and guidance for both Junior and Senior Mulesoft developers. Worked with highly Agile Methodologies using Azure Boards and delivered results from design to production in under a year, efficiently communicating my ideas, as well as actively listening to the team's in our standup meetings and code review sessions.

Worked alongside senior Mulesoft developers in developing, adding functionalities, and providing support to multiple Mulesoft applications.Validated Mulesoft application functionality using Mulesoft Anypoint Platform's debugger and ensured satisfactory Munit test coverage (70%). Migrated Mulesoft 3.x projects to Mulesoft 4, ensuring proper translation of the varying components and error handling from Java to the Mule 4 approach. Excelled in providing quick and efficient solutions for Dataweave data transformation problems, receiving only a sample payload and an expected output, in multiple formats including XML, CSV, JSON, and FFD.Implemented Mulesoft Applications following best practices for project structuring, Globals, Error Handling, Logging, Properties and Secure properties management.

Designed ETL pipelines in Google Cloud Platform for multiple-source data ingestion.Practical Knowledge and Hands-on experience with Implementing Hadoop + Python MapReduce solutions.Led the Web Development team in designing, implementing and deploying a new website for the company with NextJS, Vercel, and Multiple 3D and 2D design software, such as Blender, Spline and Sketch, increasing the company site traffic by 350% and improving the brand image.

Led a 5 person team of engineers from multiple fields in the creation of a Computer Vision startup for the identification and tracking of emerging COVID hot spots in public spaces.Developed Machine Learning Models for Computer Vision using Google Colab, Jupypter Notebook and Python (PyTorch) to be employed in a back-end Flask server, containerized with Docker.Integrated the back-end server with the front-end React application, capable of analyzing near real-time video feeds and identifying the faces with and without facemasks.Led marketing efforts, was interviewed by multiple tech outlets and on National television (Milenio).

Developed a Web-based Product price monitor for Hamilton Beach, based on their line of products, sold at multiple retailers, allowing them to ensure that the established price is the one listed on their distributors websites.Discussed with sales team, gathered business requirements and employed an Agile, sprint-based methodology to ensure the requirements where being met on a weekly basis.