

GCP Data Engineer with designing, developing, and optimizing data pipelines on Google Cloud Platform (GCP). Strong expertise in BigQuery, Cloud Storage, SQL, and Python for large-scale data processing and analytics. Experienced in building batch and incremental ETL pipelines, handling structured and semi-structured data, and implementing data quality checks. Proven ability to work in Agile environments, collaborate with cross-functional teams, and deliver highly reliable, scalable, and cost-optimized data solutions.
Programming Languages: Python, SQL
Cloud Platform: Google Cloud Platform (GCP)
GCP Services: BigQuery, Cloud Storage (GCS), Cloud Composer (Apache Airflow), Pub/Sub, Dataflow
Big Data Technologies: Apache Spark, PySpark, Kafka
Data Engineering Concepts: ETL/ELT Pipelines, Batch Processing,Data Modeling, Data Warehousing
Workflow Orchestration: Apache Airflow
Data Quality & Optimization: Data Validation , Query Optimization
Data Formats: CSV, JSON
Tools & Platforms: Visual Studio Code, Google Colab, Databricks, MySQL
Version Control: GitHub, Git