Mario N.

Data Engineer | AWS Certified | Python | SQL | Spark | Data Modeling ? Passionate about solving complex data problems and delivering innovative data solutions. With 9 years of experience, I excel in designing, developing, and maintaining cutting-edge data solutions across diverse domains. My expertise lies in leveraging Python, SQL, AWS, Spark, Cassandra, and Redshift to build efficient data pipelines, data lakes, and data warehouses. ? As an AWS Certified Data Analytics and Google Data Analytics Professional, along with a Data Engineering Nano Degree, I bring a strong foundation in data engineering principles. I thrive on tackling data challenges head-on, implementing robust ETL processes, ensuring data quality, and enabling efficient data governance. ? Key Skills: ETL | Data Modeling | Data Integration | Data Quality | Data Governance ? Noteworthy Projects: ✨ Built AWS data lakes with Spark, processing over 10 GB of data and achieving a remarkable 50% query performance improvement. ✨ Created a Redshift-based data warehouse for a music streaming app, facilitating fast and seamless analytics with over 5 million loaded records. ✨ Implemented data modeling with Cassandra for a music app, optimizing performance and query efficiency. ✨ Conducted sentiment analysis on Twitter data using AWS Comprehend and visualized results with AWS Quicksight. ✨ Reduced dataset size by 30% and enhanced data quality through data deduplication using AWS Glue. ✨ Analyzed A-B test results for an e-commerce website, providing data-driven recommendations to improve user experience. ✨ Leveraged SQL to query a music store database, generating insightful reports and driving business decisions. ✨ Scraped website data using Selenium and BeautifulSoup in Python, enabling data-driven insights and decision-making. ? Let's connect on LinkedIn: [login to view URL] ✉️ Reach me at: [login to view URL] ? Seeking Data Engineering opportunities and freelance gigs. Let's collaborate to unlock the power of data and drive transformative outcomes.