I specialize in building and optimizing ETL pipelines, data lakes, and analytics workflows using tools like PySpark, AWS Glue, Airflow, and DBT. Recently, I earned the Databricks Certified Data Engineer Associate certification, further strengthening my expertise in data transformation, Delta Lake, and scalable pipeline design. My focus is on delivering clean, reliable, and production-grade data systems that help teams make faster, smarter decisions. While I explore GenAI integrations where they enhance data workflows, my core strength remains data engineering, Python development, and end-to-end pipeline architecture. Areas of Expertise * Data Engineering: Databricks, DBT, PySpark, Airflow, AWS Glue, ETL design. * Programming: Python, SQL, performance tuning, code optimization. *Cloud & Automation: AWS Lambda, Terraform, CI/CD pipelines. *Project Execution: Story breakdown, sprint planning, and pipeline delivery.