I am a seasoned Data Engineer with over 10 years of expertise in building and optimizing scalable data pipelines across cloud platforms like AWS, Azure, and GCP. Proficient in Python and big data technologies such as Apache Spark, Hadoop, and Hive, I excel at transforming raw data into actionable insights. My skill set includes advanced data analysis, ETL workflows, and machine learning model deployment using frameworks like TensorFlow and PyTorch. I am also experienced in data warehousing tools such as Snowflake and BigQuery, ensuring efficient data storage and retrieval.I specialize in creating secure, high-performance data solutions while leveraging DevOps practices with tools like Docker, Kubernetes, and Terraform. My work involves implementing real-time data pipelines, enhancing data quality, and delivering insights through visualization tools like Power BI and Tableau. With a strong focus on innovation and operational efficiency, I strive to enable businesses to make data-driven decisions effectively.