I am a Data Engineer with over 6 years of experience designing and implementing large-scale data infrastructures and pipelines. With a solid foundation in software engineering and machine learning, I specialize in architecting data-driven solutions that leverage modern cloud platforms and big data technologies. My expertise spans a wide range of technologies, including Python, FastAPI, Spark, Redshift, Docker, Airflow, Kubernetes, Terraform, Kafka, and AWS. I am adept at managing the end-to-end lifecycle of data, from ingestion and transformation to the operationalization of machine learning models. Throughout my career, I have collaborated with cross-functional teams to develop robust data pipelines, optimize ETL processes, and build scalable infrastructure that empowers data science and analytics teams. My contributions have directly impacted business outcomes such as enhancing customer experiences, and optimizing pricing models.