hans pech

I am an experienced Data Engineer with 5 years of Python programming and 2 years of API integration expertise. Proficient in AWS, Docker, and API-driven reporting, I excel in creating seamless serverless architectures. My background includes web scraping, data mining, and data cleaning using Python, SQL, Pandas, and Numpy. I am passionate about leveraging data to drive informed decisions and have a track record of collaborating effectively in dynamic environments. My skills and enthusiasm make me an asset in delivering exceptional results and contributing to data-driven innovation

I have accumulated extensive experience in data engineering and web development over several years, encompassing a variety of challenging projects. While at Veoci, I was at the forefront of integrating client tools with the Veoci platform, leveraging AWS, Docker, and numerous API integration techniques. I collaborated closely with U.S. teams, focusing on process automation and efficiency enhancements. During my tenure with Scale AI, I specialized in web scraping techniques, extracting data from e-commerce sites to refine user recommendation systems. At IZONE, together with my colleagues, we innovated by implementing the Apriori Algorithm, decoding patterns in customer transactions for better business decision-making. Moreover, in my role at RICH IT, I led a pivotal project utilizing the Levenshtein distance algorithm, aimed at identifying string similarities in diverse financial datasets. My expertise spans a wide array of technologies including Python, AWS, SQL, JavaScript, HTML, data preprocessing and analysis tools. 

I earned my professional degree in Data Engineering from the Universidad Politécnica de Yucatán between 2018 and 2022. Prior to that, from 2016 to 2018, I enhanced my linguistic proficiency at Harmon Hall Learning Center, progressing from English level B1 to C1.