Saurabh Varule

GCP Data Engineer

Talent

HyderabadMember since 7 April 2026

PythonSQLJavaBigQueryDataflowDataprocCloud Storage (GCS)Cloud ComposerApache AirflowApache SparkPySparkGitVS CodeGitHub CopilotETL/ELT Pipeline DesignData ModelingData WarehousingMedallion ArchitectureStar Schemagoogle cloud platform

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PythonSQLJavaBigQueryDataflow

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.