Chanchal Borde

GCP Data Engineer

Aurangabad, Maharashtra 2+ yrs exp 85 · Excellent

About

GCP Data Engineer with 2+ years of experience designing and developing scalable ETL/ELT pipelines and cloud-based data solutions on Google Cloud Platform. Experienced with BigQuery, PySpark, Python, SQL, Dataflow, Dataproc, Pub/Sub, GCS, and Airflow for batch and real-time data processing. Skilled in data warehousing, data modeling, pipeline optimization, data quality, and automation, with hands-on experience in Healthcare and Food Delivery domains.

Skills & Expertise (19)

Cloud Storage Intermediate

7.5/10

Years Exp

Dataproc Intermediate

7.5/10

Years Exp

Dataflow Intermediate

7.5/10

Years Exp

BigQuery Intermediate

7.5/10

Years Exp

Git Intermediate

7.5/10

Years Exp

ETL Intermediate

7.5/10

Years Exp

PySpark Intermediate

7.5/10

Years Exp

SQL Intermediate

7.5/10

Years Exp

Python Intermediate

7.5/10

Years Exp

Power BI Intermediate

6.5/10

Years Exp

GitHub Actions Intermediate

6.5/10

Years Exp

Airflow Intermediate

6.5/10

Years Exp

Data Quality Intermediate

6.5/10

Years Exp

Batch Processing Intermediate

6.5/10

Years Exp

Data Modeling Intermediate

6.5/10

Years Exp

Data Warehousing Intermediate

6.5/10

Years Exp

Cloud Build Sub Pub

Work Experience

Data Engineer

Globestar Software Ltd

Jul 2024 - Present

Designed and developed scalable ETL/ELT pipelines on GCP using Python, SQL, PySpark, and BigQuery for large-scale data processing. Built optimized ingestion, transformation, and loading workflows for structured and semi-structured datasets. Improved query and pipeline performance by 25% through SQL optimization and efficient data processing techniques. Worked with BigQuery, GCS, Dataproc, Dataflow, and Pub/Sub for cloud-based analytics and distributed data processing. Automated batch data pipelines and reporting workflows to improve operational efficiency and reduce manual effort.

Data Engineer Intern

Globestar Software Ltd

Jan 2024 - Jun 2024

Assisted in developing ETL pipelines using Python and SQL for data integration and transformation. Performed data cleaning, preprocessing, and validation for analytics and reporting use cases. Supported dashboard creation and reporting using BI tools and SQL-based datasets. Worked on cloud-based data processing and storage solutions within the GCP ecosystem.