Sashi Priya
@sashipriya
GCP Data Engineer designing scalable data pipelines and ETL/ELT solutions on Google Cloud.
What I'm looking for
I’m a GCP Data Engineer with 7+ years of IT experience and strong hands-on expertise in Google Cloud Platform. I design, build, and optimize scalable data pipelines, with a deep focus on ETL/ELT, data modeling, data warehousing, and performance tuning.
At Wipro (Sept 2023–Present), I architected and deployed highly available GCP data pipelines that improved processing efficiency and reduced operational overhead. I migrated on-prem workloads to BigQuery, Data Fusion, and Dataproc, and I designed optimized Data Fusion pipelines to integrate multi-source data into BigQuery for OBIEE/Tableau reporting. I also built parameterized Airflow (Cloud Composer) DAGs to support historical and incremental loads from GCS to BigQuery using CSV and Parquet.
Earlier at Wipro (Feb 2020–Aug 2023), I delivered end-to-end ETL pipelines from GCS to Cloud SQL for large-scale ingestion. I automated workflows with Cloud Scheduler and Cloud Functions, created custom data validation frameworks to ensure data quality, and implemented BigQuery detokenization for sensitive data. I added fine-grained IAM controls and strengthened reliability with monitoring, error handling, and pipeline automation using Python and Git-based version control.
Before that, as a Linux Administrator (Feb 2019–Jan 2020), I maintained Linux-based production servers with a focus on high availability, monitoring, patching, and security hardening. That operational mindset carries into my data work—I aim for dependable pipelines, clear stakeholder alignment, and solutions that scale reliably.
Experience
Work history, roles, and key accomplishments
Architected and deployed scalable, highly available data pipelines on GCP, migrating workloads from on-prem to BigQuery, Data Fusion, and Dataproc to improve performance and reduce operational overhead. Built parameterized Cloud Composer (Airflow) DAGs and implemented incremental, multi-format (CSV/Parquet) ingestion from GCS to BigQuery, optimizing partitioning and improving reporting accuracy an
Designed and implemented end-to-end ETL pipelines for large-scale ingestion from GCS to Cloud SQL, automating workflows with Cloud Scheduler and Cloud Functions to eliminate manual intervention. Implemented data validation, fine-grained IAM access controls, error handling/monitoring, and a BigQuery detokenization solution for sensitive data compliance.
Managed and maintained Linux-based production servers, ensuring high availability by performing monitoring, patching, and security hardening to reduce vulnerabilities and downtime. Diagnosed and resolved hardware, network, and system-level issues, and automated routine administrative tasks to improve performance and resource utilization.
Education
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Sashi hasn't added their education
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