11/12/2024 updated
100 % available
Experienced Data Engineer
Santa Ana, Costa Rica
Artificial IntelligenceInformation EngineeringData SystemMarket ValueFull Stack DevelopmentDatabricks
I am a highly skilled engineer with a strong foundation in full-stack development and over five years of specialized experience in data engineering. Throughout my career, I have developed a passion for designing and implementing scalable data solutions that drive business value. Currently, I work as a Senior Scale Solutions Engineer at Databricks, where I collaborate closely with customers to help them fully leverage the platform’s capabilities.
In my role, I focus on guiding clients through the process of understanding, building, and enabling new features on Databricks, ensuring they follow industry best practices. My expertise spans across various areas, including data engineering (DE), artificial intelligence (AI), and advanced analytics. I am dedicated to helping organizations harness the power of data to solve complex challenges and unlock new opportunities for growth and innovation.
In my role, I focus on guiding clients through the process of understanding, building, and enabling new features on Databricks, ensuring they follow industry best practices. My expertise spans across various areas, including data engineering (DE), artificial intelligence (AI), and advanced analytics. I am dedicated to helping organizations harness the power of data to solve complex challenges and unlock new opportunities for growth and innovation.
Languages
EnglishNative speakerSpanishNative speaker
Project history
Lead, guide, build and educate customers on various technologies offered by Databricks, including Data Governance, Data Engineering, Data Science, Data Warehousing, and integrating everything in a lakehouse using different cloud platforms like GCP, AWS, and Azure.
In charge of planning, developing, and deploying pipelines (ETL and ELT) to a multiple services inside GCP, using azure dev ops to handle the repos, and a containerized pipelines to handle all the processes.
In charge of planning, developing, and deploying pipelines (ETL and ELT) to a multiple services inside GCP, also a lot and most of pipelines where triggered and manage with Github and Airflow.