I'm an experienced data analytics enthusiast passionate about exploring data architecture. Full of excitement, I'm actively seeking new opportunities that suit my passion and constantly challenging myself to be a well-versed analytics engineer.
- π Iβm currently working on building my data engineering portfolio.
- π± Iβm currently learning
Airflowand end-to-end OLTP streamingAWSdata engineering project. - π« How to reach me: faiz.b.puad@gmail.com
- π Pronouns:
Far East - β‘ Fun fact: Easy-going on
randomtopics. Once an active futsal & takraw player.
"Stay curious, be humble, and keep on learning."
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Real-Time Document Streaming with Kafka & Spark
Harness the power of Kafka and Spark to build an efficient document streaming architecture. This end-to-end system delivers real-time data processing with MongoDB for seamless storage.
Harness the power of Kafka and Spark to build an efficient document streaming architecture. This end-to-end system delivers real-time data processing with MongoDB for seamless storage.
Scalable OLAP System for Credit Card Transactions
Dive into a robust OLAP system designed to scale and analyze large volumes of credit card transactions. Built with advanced data processing techniques, this project leverages cloud-native solutions for optimal performance.
Dive into a robust OLAP system designed to scale and analyze large volumes of credit card transactions. Built with advanced data processing techniques, this project leverages cloud-native solutions for optimal performance.
AWS Real-Time Credit Card Transaction Pipeline
A cutting-edge AWS-powered data engineering project that implements a real-time credit card transaction processing pipeline. Leveraging cloud services for scalable, efficient data streaming and analysis.
A cutting-edge AWS-powered data engineering project that implements a real-time credit card transaction processing pipeline. Leveraging cloud services for scalable, efficient data streaming and analysis.
Loan Default Prediction with Classification Models
An insightful project that assesses loan default risk using classification algorithms. This project explores data preprocessing, model selection, and evaluation to improve decision-making in financial services.
An insightful project that assesses loan default risk using classification algorithms. This project explores data preprocessing, model selection, and evaluation to improve decision-making in financial services.
DataCamp Project Collection
A curated collection of completed projects from DataCamp courses, demonstrating a wide range of data science techniques and tools across different datasets and problem spaces.
A curated collection of completed projects from DataCamp courses, demonstrating a wide range of data science techniques and tools across different datasets and problem spaces.