A Data Engineer highly specialized in Big Data and advanced analytics, possessing a postgraduate degree in Data Engineering and an undergraduate degree in Computer Science. Certified in Azure and Databricks, demonstrating a strong commitment to continuous professional development. Accumulating five years of technology experience, with a focus on data roles over the past four years, including a recent project that involved developing scalable and efficient data pipelines and robust data architectures to support advanced analytics. Expert in collaborating with multifunctional teams to address data needs, optimizing SQL queries to ensure data integrity, reliability, and security, and skilled in data manipulation using Python and SQL. Proficient in utilizing technologies such as Spark and Databricks for distributed processing and big data analysis.Proficiency in cloud environments such as AWS and Azure includes the implementation of data pipelines, system integrations, and performance optimizations. Strong skills in Power BI for data visualization are supported by experience in Linux and Docker. Committed to further skill development in data architecture and engineering through curiosity and self-learning.Areas of expertise encompass Data Engineering, Big Data, Analytics, Machine Learning, Data Science, SQL, Python, Hadoop, Spark, Data Warehousing, ETL (Extract, Transform, Load), Data Modeling, Cloud Computing, NoSQL, Business Intelligence, Data Pipelines, Data Visualization, Data Mining, Stream Processing, and Distributed Systems.
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