Experienced Data Engineer with a demonstrated history of working with large real-time datasets. Skilled in Computer Science with strong background in python, spark, Dask, Building Data Pipelines, ETL/ELT processes, Dimension Modeling, SQL, Datawarehouses, Amazon Web Services (S3, Redshift, Elastic Search, Dynamo DB, Kinesis, Airflow, Athena, Glue), Azure, Google BigQuery, SQL Querying, Data Analysis, Data Visualization, Agile Methodologies, Software Development, and Data Structures. Strong data professional with a Master's degree focused in Computer Science from Oklahoma State University. My passion for data and problem solving has driven me to combine both to find optimal solutions , I can manage, use ,build, design datasets that can be used to share with cross-functional teams, I transform, validate, analyze and leverage data to provide optimal data insights that drives quality decision-making for business processes. I recognize user's needs and created the data to provide it to Business and Data Science teams, worked collaboratively and engaged with every teams to create and expand data models as large quantities of data is updated, helped users and teams access the updated data, migrated and built, designed various high performance data models and pipelines for Data Lakes and Data Warehouses on data infrastructures as data scaled. When I am not coding, I immerse in artistic skills such as drawing and painting.