Rahul G

WORK HISTORY

ABOUT RAHUL G

With over 9+ years of experience as a Data Engineer, I bring deep technical expertise across cloud platforms like AWS, Azure, and GCP, and a track record of building scalable, efficient, and reliable data pipelines for complex business needs. My background spans healthcare, finance, and insurance domains, where I\'ve consistently translated raw data into actionable insights using tools like Apache Spark, Snowflake, Kafka, Airflow, and Databricks.I have designed and deployed robust ETL workflows handling batch and streaming data at scale, leveraging technologies like Python, SQL, PySpark, and DBT, while implementing data quality frameworks, performance tuning, and CI/CD automation with Git, Jenkins, Terraform, and Ansible. My projects often involve dimensional modeling (star/snowflake schemas), data governance (masking/encryption), and cross-functional collaboration with business analysts, data scientists, and product teams.What sets me apart is not just technical skill, but the ability to understand business problems and engineer data solutions that are both reliable and insightful. I enjoy solving hard problems, building clean architecture, and creating systems that scale — while working closely with teams that value integrity, impact, and continuous learning.