As a Senior Data Engineer at American Express, I design and optimize scalable, secure, and high-performance data solutions that drive business insights and innovation. With a passion for solving complex data challenges, I specialize in building modern data pipelines and cloud-native architectures on AWS and Google Cloud Platform (GCP), ensuring data reliability, efficiency, and security across global platforms. 🔹 What I Do: Architect and implement large-scale distributed data systems using tools like Hadoop, Hive, PySpark, and Airflow. Design highly available and resilient data pipelines that support real-time and batch processing needs. Leverage SQL, Python, and PostgreSQL for data modeling, transformation, and advanced analytics. Build and optimize cloud-based solutions to accelerate data access, reduce costs, and enhance system performance on AWS and GCP. Collaborate closely with cross-functional teams to align data strategies with business objectives and drive innovation. 🔹 My Technical Toolkit: Cloud Platforms: AWS (S3, Redshift, Glue, EMR, Lambda), GCP (BigQuery, Dataflow, Pub/Sub) Big Data & Distributed Systems: Hadoop, Hive, PySpark, Kafka Data Orchestration: Apache Airflow Databases: PostgreSQL, Oracle, Snowflake Programming: Python, Shell Scripting, SQL DevOps & CI/CD: Docker, Kubernetes, Jenkins, Terraform