Kasi V — Data Engineer

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 🔹 Why Connect with Me: I’m passionate about sharing knowledge, learning from others, and building meaningful connections in the tech community. With a growing LinkedIn family of 16K+ amazing professionals, I regularly post about data engineering, cloud technologies, career tips, and personal growth. Let's connect if you're interested in technology, data, cloud, or simply want to exchange ideas and opportunities!

Stackforce AI infers this person is a Data Engineering expert in Cloud Solutions for Fintech and SaaS industries.

Location: Bengaluru, Karnataka, India

Experience: 7 yrs 1 mo