Senior Data Engineer with 10+ years of experience designing and maintaining scalable ETL/ELT pipelines, data models, and lakehouse/data warehouse architectures across AWS, Azure, and GCP. Proven track record transforming raw, semi-structured data into reliable, structured formats that power analytics and AI/ML workflows. Deep expertise in Databricks, Snowflake, Delta Lake, and Apache Spark, with strong proficiency in Python, SQL, PySpark, and data quality monitoring frameworks (Great Expectations). Experienced collaborating with data scientists and AI researchers to accelerate ML pipeline development, training dataset structuring, and model evaluation. Skilled in Airflow orchestration, CI/CD, Terraform, Docker, and Kubernetes — consistently delivering production-grade, enterprise-scale data platforms.
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