S Kumar Email & Phone Number

• Stored and managed large volumes of data in AWS S3 ensuring data availability and durability for analytics and processing.• Orchestrated over 30 data workflows with Apache Airflow, scheduling and managing complex ETL pipelines and data processing tasks, leading to a 35% increase in pipeline reliability.• Leveraged AWS Redshift for high-performance data warehousing and analytics, optimizing query performance and reducing execution time by 50%.• Implemented MLflow to manage the machine learning lifecycle, including experimentation, reproducibility and model deployment.

India

• Built and deployed machine learning models using Tensor Flow and managed model pipelines with Kubeflow, enabling scalable and reproducible ML workflows.• Orchestrated containerized applications and services with Kubernetes ensuring scalable and resilient deployment of data solutions.

Bengaluru, Karnataka, India

• Leveraged Scikit-Learn and Tensor Flow to build and deploy machine learning models enhancing data-driven decision-making capabilities.• Managed data processing and analysis using Google Cloud services, including Dataflow for batch and streaming data processing and Pub/Sub for real-time messaging.• Developed interactive dashboards and visualizations with Tableau, providing actionable insights derived from data.

India

• Configured and managed AWS EC2 instances for scalable data application deployment and operation.• Employed Map Reduce and YARN on HDFS to process large datasets efficiently.• Mapped data from various source systems to target databases ensuring high accuracy and data integrity.• Identified and resolved workflow bugs using Bugzilla ensuring seamless data operations.• Managed AWS RDS databases to optimize performance and ensure high availability for applications.• Used Apache Sqoop to facilitate data transfers between Hadoop and relational databases.