Sarak Dahal

class GraduateDataEngineer:
    def __init__(self):
        self.role = "Graduate Data Engineer"
        self.company = "Regis University"
        self.duration = "Aug 2024 - Present"
        self.location = "Denver, CO"

    def achievements(self):
        return [
            "Process 10M+ records daily with 99.9% accuracy",
            "Built ETL pipelines with 40% performance improvement",
            "Support analytics platform for 1000+ users",
            "Automated workflows reducing processing by 75%",
            "Implemented real-time & batch processing systems"
        ]

    def tech_stack(self):
        return ["Apache Spark", "Airflow", "PySpark", "AWS", "Snowflake"]

class PythonDeveloper:
    def __init__(self):
        self.role = "Python Developer - Data Engineering Focus"
        self.company = "Appharu"
        self.duration = "Jan 2020 - Jul 2023"
        self.location = "Remote"

    def impact(self):
        return {
            "daily_processing": "5M+ records",
            "performance_gain": "50% query optimization",
            "cost_savings": "$50K+ prevented downtime",
            "uptime": "99.9% system availability",
            "user_base": "100+ business users"
        }