Data Engineer with hands on experience designing and implementing scalable data solutions. Specialized in building robust ETL/ELT pipelines, data warehousing, and cloud-based analytics infrastructure.

skills = {
    "Languages": ["Python", "SQL", "Bash", "R"],
    "Data Processing": ["Pandas", "NumPy", "PySpark", "Apache Spark", "Hadoop"],
    "Orchestration": ["Airflow", "Cloud Composer"],
    "Databases": ["BigQuery", "PostgreSQL", "MongoDB", "Apache Impala"],
    "Data Modeling": ["dbt", "Data Warehousing", "Dimensional Modeling"],
    "Cloud": ["GCP", "AWS", "Cloud Run", "Dataflow", "S3", "Lambda", "DynamoDB"],
    "DevOps": ["Docker", "Git", "CI/CD", "Terraform"],
    "Visualization": ["Tableau", "PowerBI", "Matplotlib", "Seaborn"]
}

• Pipeline Development: Designing and maintaining robust data pipelines using Airflow, ensuring reliability and efficiency
• Data Warehouse Design: Creating scalable data models for analytics and reporting workloads
• Data Quality: Implementing comprehensive quality controls and monitoring systems
• Cloud Architecture: Building cloud-native data solutions on GCP and AWS
• Performance Optimization: Tuning database queries and ETL processes for maximum efficiency

• Designing event-driven data pipelines with real-time processing capabilities
• Implementing DataOps practices for improved collaboration between data teams
• Exploring modern data stack technologies and architectural patterns

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