gardhani muhammad issaac

I am a passionate Data Engineer with three years of hands-on experience designing and operating scalable data platforms on Google Cloud Platform. I have built and optimized end-to-end batch and streaming pipelines that integrate data from MySQL, MariaDB, PostgreSQL, MongoDB, Kafka and OLTP sources to deliver high-performance analytics at scale.

I develop custom data ingestion and metadata applications using Python, Java, and Scala, and implement orchestration and processing with Airflow, Dataproc, Spark, Dataflow and Kubernetes. I have driven cost and performance improvements — notably designing a near-real-time ingestion approach that can reduce costs by up to 44% versus full real-time — and led planning for reusable multitenant batch pipelines.

I emphasize reliability and quality through comprehensive testing (unit, integration, load, staging), canary releases, and proactive monitoring, logging and alerting. I collaborate closely with stakeholders and engineering teams to deliver robust, maintainable solutions and continuously adopt new technologies to improve workflows.