With more than five years of experience in data and software engineering had the privilege of working for several industries. My entire career was in consulting firms, thus, I learned to work in different environments and businesses such as investment firms, paper producers, retail, etc. Not only with data engineering responsibilities but also had solutions architecture and tech lead experiences. Building solutions such as Data Lakes, ETL/ELT pipelines, data modeling, data migration, DevOps, Business Intelligence in general, Data Governance, Web Scraping, Chatbots, and automation as a whole. Experience with Machine Learning concepts and frameworks, like Tensorflow, Keras, and PyTorch. The main programming languages are Python, JavaScript, and SQL. Proficient in the main cloud providers (AWS, azure). Significant experience with Docker, Kubernetes, Git, CI/CD, Terraform, Airflow, Spark, Snowflake, DBT, etc.
Worked on different types of projects that required a versatile set of skills such as web scraping, APIs, web applications, analytics with Power BI and Tableau, data migration, data ingestion with SSIS, bots, chatbots, and automation with the main cloud providers (AWS, Azure). Python, Javascript, and SQL as the main programming languages used. Also used tools like Selenium, Azure Data Factory, SSIS, Apache Spark, Redshift, Microsoft Cognitive Services, Flask, ReactJS, ExpressJS, SQL Server, SSIS, and Machine Learning, among other technologies.