· Created data pipelines, executes ETL operations to move large volumes of data from a GCP bucket to an external VPC network, Utilized Dataproc to create and manage pipelines, monitored workflows with Airflow, ensure seamless data operations, timely execution· focused on simulating mail traffic on Pub/Sub utilizing GCS bucket. Tasked with creating a dataset to mimic mail traffic patterns and triggers for a screwdriver. Responsiveness to varying traffic demands (super low, low, medium, and high) is crucial for pipeline optimization.Tech Stack: Python, Pub/Sub, GKE, Dataflow, Buckets, VPC, DataProc, Airflow, Pyspark, Pandas, Cloud Functions· Worked on backend development for data migration platform tool, facilitating transfer of user data between collaboration platforms. specialize in API integration, data mapping, and data migration processes.Tech Stack: Python, Django, Flask, Numpy, Pandas, RESTful APIsDuring training, I worked on Java Springboot and completed an e-cart project. The e-cart project involved features like user authentication, product catalog management, shopping cart functionalityTech Stack: SQL, Springboot, REST APIs, Hibernate, JDB

I was an intern As a data engineer/analyst at Cognizant, I specialize in designing and implementing scalable solutions for complex data complex data, developing data pipelines and solutions that drive data-driven decision-making. Given a large and complex set of Flight data, we had to give appropriate solutions for complex data challenges using SQL, Pyspark and Hadoop

Teaching assistant for Data structures and algorithms - Debugging codes- Taking Doubt session and Mentoring