Bimantara Hanumpraja
Hi, I'm Bima, a passionate explorer of all things related to data. My journey in the data field began in 2020 when I started working as a Data Engineer. Over the years, my career has evolved into various roles, including Data Scientist, Data Analyst, and Machine Learning Engineer.
In 2021, I transitioned into the roles of Data Scientist and Data Analyst, where I honed my skills in data analysis, predictive modeling, and deriving actionable insights from complex datasets. My experience in these roles allowed me to understand the full lifecycle of data, from collection and processing to analysis and visualization.
By 2022, my focus shifted to Machine Learning Engineering, where I developed and deployed machine learning models, ensuring they were scalable and efficient. This role further improve my understanding of AI and its practical applications in solving real-world problems.
Currently, I am working as a Data Infrastructure Engineer, where I am responsible for building and maintaining robust data systems. My role involves ensuring the integrity, availability, and security of data, while also optimizing the infrastructure for performance and scalability.
I love building complete systems for data and AI, and I'm always eager to explore new technologies and methodologies in the field. My diverse experience across different roles in the data domain has equipped me with a comprehensive understanding of the challenges and opportunities in creating and managing data-driven solutions.
Professional Title/Position: Machine Learning Engineer
Organization/Company: Fazz
Session
Linkedin's real-time infrastructure can process more than 4 trillion events daily with 3000 pipelines that deployed across data center to serve over 950 million users worldwide. To achieve this, they are using Apache Beam for building streaming pipeline. Good news, Apache Beam has an SDK in Python.