Muhammad Derall is a Data Specialist with nine years of experience designing and operating big data platforms for financial services, currently leading datalake architecture at Amar Bank. He has built hybrid Hadoop and GCP pipelines using technologies like Cloudera, Spark Streaming, Apache Beam/Dataflow, BigQuery, Pub/Sub, Airflow, Elasticsearch, and AWS S3 to centralize analytics from web, mobile and RDBMS sources. Beyond ETL and observability, he has driven ML initiatives—deploying TensorFlow/Keras models with TensorFlow Serving—and prototyped voice recognition, device fingerprinting for fraud, and NLP sentiment analysis. Earlier roles span mobile and web development (Android, Ionic, Laravel, Ruby on Rails), giving him full-stack empathy when translating business problems into data products. He also authors open-source tooling for data ingestion, reflecting a pragmatic builder mentality. Based in Jakarta with an IT degree from Universitas Padjadjaran, he combines hands-on engineering with a focus on production-grade analytics and fraud prevention.
9 years of coding experience
5 years of employment as a software developer
Information Technology, Information Technology at Universitas Padjadjaran (Unpad)
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