🚀 Senior Data Engineer with 10+ years of experience designing, building, and optimizing large-scale data platforms across fintech, e-commerce, edtech, and global tech companies.

I specialize in transforming complex data challenges into scalable, cost-efficient, and reliable systems; from architecting multi-cloud platforms to implementing real-time streaming pipelines.

• Languages: Python (Expert), SQL (Expert), Scala, Java, Golang
• Data Engineering Tools: Apache Spark, Kafka, Apache Airflow, dbt, Debezium, GCP Dataflow, BigQuery, Dataproc
• Cloud & Databases: Google Pub/Sub, AWS Lambda, AWS EMR, DynamoDB, Presto, Hive, Elasticsearch, MongoDB, PostgreSQL, MySQL
• DevOps & CI/CD: GitLab CI, GitHub Actions, Terraform, Kubernetes, Docker, AWS CloudFormation

(Selected to showcase scale, complexity, and measurable results)

• Stack: Airflow, GCP Dataflow, BigQuery
• Impact: Reduced user-reported data errors by introducing proactive monitoring & alerting.
• Result: Improved trust and reliability in production data pipelines.

• Stack: Kafka, Spark, GCP
• Impact: Redesigned ingestion process to cut costs by 50% while maintaining performance.
• Result: Significant cloud cost savings without compromising throughput.

• Stack: Python, AWS, Scikit-learn
• Impact: Deployed ML scoring engine to improve accuracy in credit risk assessments.
• Result: Enabled better decision-making in loan approvals.

(More projects coming soon - stay tuned!)

• Senior Data Engineer - Leaf Grow (UK, Marketing Tech) – 2024–Present
• Data Engineer Lead - Hijra Group (Indonesia, Bank & Fintech)
• Senior Data Engineer - Zenius Education (Indonesia, EdTech)
• Data Engineer Lead - Warung Pintar (Indonesia, Retail Distribution)
• Data Engineer - Bukalapak (Indonesia, E-commerce)
• Data Engineer - Provetic Indonesia (Consulting)

• LinkedIn: linkedin.com/in/robee
• GitHub: github.com/mrobee
• Email: [email protected]

💡 “I design and optimize large-scale, cost-efficient data systems that empower businesses to make smarter, faster decisions.”