- Enthusiast Data Engineer with hands-on experience in Data Engineering, Big Data, and BI specialized in, Databases, Data Warehouse (DWH), Extract Transform Load (ETL), Data Recovery. Leverage all of them to provide data-driven solutions to help decision-makers
- Enthusiastic learner focused on Big Data, Data Engineering, and BI.
- Graduated from Computer Science & Artifactual Intelligence, and also graduated from ITI Data Engineering Track
- Highly skilled in Python, SQL, NoSQL, Hadoop, Spark, Bash Scripting, DWH, Data Lake, Informatica, Data Vault, Able to build and optimize data pipelines. I am well-equipped to tackle complex problems in data. My goal is to apply my skills and expertise to develop innovative solutions that make a positive impact on my work community. I'm constantly learning and exploring new technologies in this ever-evolving major and look forward to collaborating with others who share my passion.
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View Code? Open in Web Editor NEWThe Sparkify Music Streaming Analysis project focuses on creating a NoSQL database and an ETL pipeline for Sparkify, a music streaming startup. Sparkify aims to analyze the data collected from its new music streaming app, covering songs and user activities.