I’m a Data Engineer with expertise in SQL, Python, Snowflake, AWS, ETL/ELT pipelines, data modeling, and modern data architecture. I help teams build scalable, reliable, and high-performance data systems — from ingestion to transformation to analytics. Over the years, I’ve worked across cloud data platforms, optimized complex queries, automated pipelines, designed SCD implementations, integrated systems through APIs, and built production-ready workflows using tools like Airflow, Glue, DBT, Lambda, and more. I focus on: • Designing efficient data models (Star, Snowflake, Data Vault) • Building & optimizing ETL/ELT and CDC pipelines • Snowflake performance tuning & cost optimization • AWS-based data solutions (S3, Glue, Lambda, RDS, Step Functions) • Python automation for data transformation & ingestion • Guiding beginners & teams through best practices in DE My goal is always simple: Turn messy data into clean, actionable, and scalable systems. If you need help with Data Engineering concepts, real-world implementation, interview prep, or architecture guidance - I’m here to help.