95%
Python
Staff Data Engineer with over 10 years of experience designing scalable data solutions across healthcare, finance, and ecommerce sectors using modern cloud architectures on AWS, Azure, and GCP.
Production ML models deployed and maintained successfully
Infrastructure cost reduction through AWS optimization
Years of expertise in data engineering and architecture
Daily ETL/ELT workflows managed with Airflow orchestration
Excellence in data engineering means building robust pipelines that handle millions of events with precision. Every data transformation is optimized for performance, reliability, and maintainability at scale.
Leveraging cutting-edge technologies like MLOps, real-time streaming with Kafka, and LLM-powered RAG systems. Innovation drives efficiency, enabling intelligent automation and predictive analytics that transform business operations.
Over 10 years mastering data architecture across AWS, Azure, and GCP. Deep expertise in Databricks, Snowflake, Python, Spark, and modern data stack tools ensures enterprise-grade solutions that deliver measurable business impact.
Python
Spark
SQL
AWS
Databricks
2010
Recognized for outstanding creativity2015
Celebrated for business innovation2020
Honored for customer-centric excellence2025
Creative solutions with lasting impact