Driven by a passion for data engineering and innovation, I’ve built my career on solving complex problems and delivering high-impact results through scalable data solutions. With a strong foundation in dbt, Snowflake, and AWS technologies, I specialize in designing and implementing data models and pipelines that transform raw data into actionable insights.Over the years, I’ve honed my skills in architecting ETL/ELT pipelines, migrating large datasets, and optimizing workflows for maximum efficiency. At McKinsey & Company, I led the migration of on-premise databases to Snowflake, improving processing speeds by 25% and driving the adoption of advanced analytics. In my role at JioPlatforms, I engineered data pipelines that empowered analysts to conduct A/B testing and predictive analysis, while reducing data retrieval times and pipeline downtime by leveraging technologies like PySpark, Airflow, and Kubernetes.I am AWS Cloud Practitioner and SnowPro Core certified, with a proven track record of delivering results in fast-paced environments. My career goal is to continue driving data transformation at scale by working on innovative projects that enhance business intelligence and operational efficiency.Let’s connect if you’re looking for a data engineering professional who can bring technical expertise, problem-solving skills, and a passion for driving measurable outcomes to your team!