I am a Data Engineer with 3.9 years of experience specializing in building and optimizing data pipelines, with a strong focus on ETL processes. I have hands-on experience in transforming raw data into actionable insights for business growth, particularly within the Property & Casualty (P&C) insurance domain.My expertise lies in extracting, cleaning, and processing large datasets from multiple sources, ensuring data quality and integrity. I have successfully contributed to P&C insurance projects, where I streamlined data flows to improve policy management, claims processing, and reporting.I am proficient in Python, Pandas, SQL, and Big Data technologies like Apache Spark, Hadoop. I am also experienced with cloud platforms such as AWS and Snowflake for building scalable and efficient data solutions.I am passionate about leveraging data to drive informed decision-making and look forward to contributing to impactful data engineering projects.