Saurabh Varule
GCP Data Engineer
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About
Results-driven GCP Data Engineer with 3+ years of experience building scalable ETL/ELT pipelines, data models, and data processing systems on Google Cloud Platform. Expertise in BigQuery optimization, Apache Airflow orchestration, and cloud data warehousing to deliver reliable, analytics-ready data platforms. Skilled in Python, SQL, Dataflow, and PySpark, enabling high-performance data pipelines, real-time data processing, and cost-efficient enterprise analytics solutions.Results-driven GCP Data Engineer with 3+ years of experience building scalable ETL/ELT pipelines, data models, and data processing systems on Google Cloud Platform.
Expertise in
BigQuery optimization, Apache Airflow orchestration, and cloud data warehousing to deliver reliable, analytics-ready data platforms. Skilled in Python, SQL, Dataflow, and PySpark, enabling high-performance data pipelines, real-time data processing, and cost-efficient enterprise analytics solutions.
Experience
GCP Data Engineer at Zoya Infotech (2022-12 – Present)
Architected and maintained scalable ETL/ELT pipelines on GCP using BigQuery, Dataflow, and Cloud Composer, processing 100GB+ of data daily with pipeline reliability.
- Architected and maintained scalable ETL/ELT pipelines on GCP using BigQuery, Dataflow, and Cloud Composer, processing 100GB+ of data daily with pipeline reliability.
- Optimized BigQuery performance through partitioning, clustering, and query tuning reducing query costs and improving execution time for critical marketing reports.
- Designed and maintained batch and streaming data pipelines on GCP using Dataflow, BigQuery, GCS, and Cloud Composer for scalable data processing.
- Implemented Medallion Architecture (Bronze, Silver, Gold) to structure raw, cleaned, and curated datasets in GCS and BigQuery.
- Designed data models using Star Schema for analytics use cases, enabling efficient reporting and dashboarding
- Implemented incremental data loading strategies to process only new and updated records, improving pipeline efficiency
- Collaborated with business stakeholders to translate requirements into scalable data pipelines and curated datasets.
Education
Bachelor of Computer Engineering in Computer Engineering – Savitribai Phule Pune University (2019-08 – 2023-07)
