Drop Cvs - [email protected]

Data Pipeline Development: Build and maintain scalable, secure ETL/ELT data workflows using BigQuery and other GCP services (e.g., Dataflow, Cloud Storage). [1, 2]Extensive Experience in IT data analytics projects, Hands on experience in migrating on premise ETLs to Google Cloud Platform (GCP) using cloud native tools such as BIG query, Cloud Data,Proc, Google Cloud Storage, ComposerSQL concepts, Presto SQL, Hive SQL, Python (Pandas, Numpy, SciPy, Matplotlib)



and PysparkDesign and implement scalable data pipelines using Google Cloud DataflowDevelop and optimize BigQuery datasets for productive data analysis and reportingCollaborate with cross-functional teams to integrate data solutions with business processesAutomate data workflows using Cloud Composer and Apache AirflowEnsure data security and compliance with GCP Identity and Access ManagementQuery & Storage Optimization: Develop advanced SQL queries and design data models using partitioning, clustering, and materialized views to minimize costs and maximize performanceImplement real-time data processing with Google Cloud Pub/Sub and DataflowContinuously evaluate and adopt new GCP tools and technologies GCP Biq query, Python , SQL , AirflowComposer

📌 Gcp Data Engineer (Hyderabad)
🏢 Walking Tree
📍 Hyderabad