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Akash

Akash

GCP Data Engineer

Talent
PuneMember since November 8, 2026
Google Cloud PlatformBigQueryDataprocPub/SubCloud ComposerCloud StorageCloud SQLCloud FunctionsETL/ELT PipelinesMedallion ArchitecturePySparkPythonGitHub
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Google Cloud PlatformBigQueryDataprocPub/SubCloud Composer

About

GCP Data Engineer 3 Years of Experience Develop and build Real-time and Batch ELT pipelines on Google Cloud Platform Exposure to BigQuery, Dataproc (Pyspark), Cloud Composer(Airflow), Pub/Sub, Cloud Storage Implemented Medallion Architecture (Bronze/Silver/Gold layers) and event-driven streaming pipelines in e-commerce and food delivery domain Strong SQL, Python skills with demonstrated influence in data quality, data processing latency and efficiency.

Experience

Data Engineer at Ecollabraiz Technologies Pvt. Ltd (2025-08 – Present)

  • Developed batch and near real-time scalable ELT pipelines on GCP by utilizing BigQuery, Dataproc (PySpark), Cloud Storage and Pub/Sub for massive healthcare and transactional datasets.
  • Enhanced pipeline robustness through automated workflow orchestration with Cloud Composer (Airflow) DAGs, including task dependency management, retry handling, logging, and monitoring.
  • Leveraged BigQuery SCD Type2 to track changes in historical patient and claims data for precise reporting and auditing.
  • Designed and implemented several efficient BigQuery SQL transformations, materialized views and partitioned/clustered performing up to 35-40% faster report generation and analytics querying.
  • Led end-to-end Healthcare RCM data pipeline development across Bronze, Silver, and Gold Medallion layers, improving data consistency and downstream analytics readiness.

Data Engineer Intern at Ecollabraiz Technologies Pvt. Ltd. (2024-07 – 2025-07)

  • Developed end to end ETL/ELT pipelines with PySpark (Dataproc), BigQuery and Cloud Storage for an Ecommerce platform to handle daily order/delivery logs.
  • Used Medallion Architecture (Bronze, Silver, and Gold layers) to separate raw and processed data, enabling a 35% improvement in data integrity and downstream query speed.
  • Created batch and streaming data pipelines with Pub/Sub and Cloud Functions that reduced manual effort and made data more readily available for analytics teams.
  • Researched and wrote complex SQL queries and Pyspark transformations to clean, aggregate and generate KPIs for business reporting and dashboards.

Education

Master of Business Administration (MBA) in Data Science – Amity University (2026)

Bachelor of Science (B.Sc.) – Dr. Babasaheb Ambedkar Marathwada University (2022 – 2025)

Skills

GCP Data Engineer

Reviews

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