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 Pyspark
Design and implement scalable data pipelines using Google Cloud Dataflow
Develop and optimize BigQuery datasets for effective data analysis and reporting
Collaborate with cross-functional teams to integrate data solutions with business processesAutomate data workflows using Cloud Composer and Apache Airflow
Ensure data security and compliance with GCP Identity and Access Management
Query & Storage Optimization: Develop advanced SQL queries and design data models using partitioning, clustering, and materialized views to minimize costs and maximize performance
Implement real-time data processing with Google Cloud Pub/Sub and Dataflow
Continuously evaluate and adopt recent GCP tools and technologies GCP Biq query, Python , SQL , AirflowComposer .

📌 Gcp Data Engineer Bengaluru
🏢 Walking Tree
📍 Bengaluru