Yulieth Hernandez Acosta  new_releases

Data Engineer with 3+ years of experience working across data engineering, analytics, and data quality in production environments. Strong focus on building, automating, and validating data pipelines and analytics workflows that deliver reliable, business-ready data. Hands-on experience with Python and advanced SQL, working with cloud-based data platforms including GCP (BigQuery), Snowflake, and AWS (working knowledge). Proven ability to automate data workflows, optimize data processes, and ensure data accuracy through validation and QA practices. I bring a strong analytics perspective to data engineering, having delivered executive dashboards and insights using Power BI, Looker, Tableau, and Datorama, ensuring data solutions align with business and stakeholder needs; I also contribute a data quality and QA mindset, with experience performing API and data validation using Postman, and validating decision logic and outputs across platforms such as Oscilar and Provenir, ensuring cross-system consistency. I’ve contributed to initiatives such as automating ~80% of manual data processes and supporting large-scale enterprise data migrations, always with a strong focus on data quality, accuracy, and governance. Trilingual (Spanish, English, French – B1) and currently based in Canada, with a continuous-learning mindset and strong interest in building scalable, reliable, and well-governed data systems.