class DataEngineerExtraordinaire:
    def __init__(self):
        self.name = "Ashutosh"
        self.role = "Principal Data Engineer"
        self.experience = "4+ Years"
        self.location = "🌍 Global Remote"
        
        self.expertise = {
            "languages": ["Python", "Scala", "SQL", "Rust", "Go"],
            "big_data": ["Spark", "Flink", "Kafka", "Hadoop", "Presto"],
            "cloud": ["AWS", "GCP", "Azure", "Kubernetes", "Terraform"],
            "databases": ["PostgreSQL", "Cassandra", "MongoDB", "Redis", "Snowflake"],
            "ml_ops": ["MLflow", "Kubeflow", "SageMaker", "Vertex AI"],
            "specialties": [
                "Petabyte-scale data processing",
                "Real-time streaming architectures",
                "Cloud-native data platforms",
                "AI/ML infrastructure at scale"
            ]
        }
        
        self.achievements = {
            "data_processed": "4+ PB",
            "pipelines_built": "500+",
            "cost_saved": "$5M+",
            "teams_led": "50+ engineers"
        }
    
    def current_focus(self):
        return [
            "🚀 Building next-gen data platforms",
            "🤖 LLM-powered data insights",
            "⚡ Sub-second query engines",
            "🌐 Global data mesh architectures"
        ]

me = DataEngineerExtraordinaire()