Expertise in Big Data, Analytics, and Business Intelligence with over a decade of experience in both cloud (Azure) and on-premises environments. Specializes in developing ELT processes and data pipelines for both batch and streaming data ingestion, as well as defining and implementing ETL processes for data warehouses and Data Marts. Extensive proficiency in Azure Cloud, including Databricks, Data Factory, Synapse, and the Hadoop Framework. Skilled in relational and multidimensional data modeling, and experienced in Python development and distributed data processing with PySpark. Strong background in SQL and NoSQL databases.

Proven ability to collaborate effectively with multidisciplinary teams within agile squads, easily comprehending business objectives and processes. Demonstrates resilience under pressure in dynamic environments, swiftly resolving incidents and problems, with a focus on root cause analysis. Proficient in SAS Guide and SAS Studio for managing large data volumes to provide descriptive and predictive analytics, fostering a data-driven culture. Currently seeking opportunities to leverage skills on AWS platforms and expand knowledge in technologies like Kafka to drive innovation and efficiency in data projects.