Faisal Pratama Putra

Handled data pipelines and automation for internal and external uses, including daily email reports and data retrieval. Designed and implemented Prefect architecture in GCP using Terraform, and reported on BigQuery cost usage.

Gathered user requirements, created data pipelines from source to datamart, and implemented logic for data stores and layers using Databricks.

Ensured data analyst and scientist teams had necessary data, and developed, deployed, and maintained services using Docker on Linux. Maintained legacy systems, implemented automation, and deployed machine learning models.

Retrieved data from various sources including social media scraping and Facebook Graph API, managed data warehouse in BigQuery, and deployed applications on remote Linux machines. Engineered and architected a machine learning solution for image classification.

Focused on AR projects for Instagram filters using SparkAR for clients like Joyday, Samsung, ASTRA, and Kanzler. Created workflows for 2D facial animation, designed a thermal printer camera using Raspberry Pi, and modified open source games.

Worked as a backend programmer using Java and MySQL, handling massive data processing for reports, data visualization, and data correction and validation.

Developed a dashboard web app using VueJS for frontend and ExpressJS for backend REST API, interacting with database and AWS cloud bucket.

Worked on a monolithic backend service using Go, mainly creating modules that interact with the database.

Studied Computer Science at BINUS University from May 2013 to May 2017.