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Rajwinder Pal Singh

(Serving Notice Period)GCP-Certified Data Engineer | Building Scalable Data Pipelines & Cloud Solutions

Indore

3+ years of work experience

Accenture
Jan 20233 yrs 5 mosPresent

Indore, Madhya Pradesh, India

Engineered and deployed scalable ETL/ELT pipelines on Google Cloud Platform (BigQuery, Airflow, Cloud Storage) using Python for orchestration and automation. • Developed and optimized Airflow DAGs in Python, improving pipeline reliability and reducing processing time by 30–40%. • Optimized BigQuery SQL queries and stored procedures, cutting execution time significantly and enhancing reporting performance. • Automated data quality checks through Python-based Airflow DAGs, achieving 99% data accuracy and reducing manual intervention by 50%. • Migrated production-ready pipelines and models with zero downtime, ensuring high system availability. • Built semantic data models in AtScale for BI dashboards, reducing report generation time from hours to minutes. • Collaborated with business stakeholders to translate requirements into scalable, high-performance solutions. • Resolved production issues, delivered enhancements, and maintained system stability with 99%+ SLA compliance.
Accenture in India
- NowPresent

Aug 2025

Education

College of Commerce

Bachelor of Computer Applications, Computer Programming, Specific Applications

College of Commerce

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Headline

(Serving Notice Period)GCP-Certified Data Engineer | Building Scalable Data Pipelines & Cloud Solutions

About

I am a GCP Data Engineer with over 2.5 years of experience in designing, building, and optimizing scalable cloud-based data pipelines. Skilled in Google BigQuery, Python, Airflow, SQL, Cloud Storage, and AtScale, I specialize in transforming raw data into actionable insights that power business decision-making. My expertise lies in: • Developing end-to-end ETL/ELT pipelines on Google Cloud Platform. • Writing optimized SQL queries and stored procedures for high-volume datasets. • Building and maintaining Python-based Airflow DAGs to automate workflows and data quality checks, achieving 99% accuracy. • Migrating and deploying production-ready pipelines with zero downtime. • Creating semantic data models to streamline reporting and analytics. I thrive at the intersection of data engineering and problem-solving, ensuring data reliability, performance, and scalability. Alongside strong technical skills, I bring a collaborative approach, working closely with stakeholders to deliver solutions that enable faster, data-driven decisions. 🌟 My goal is to grow into a Senior Data Engineer role, leveraging cloud-native tools and modern data architectures to build future-ready solutions.

Location

Indore

Work experience

GCP DATA ENGINEER at Accenture, Jan 2023 - Present · 3 yrs 5 mos, Indore, Madhya Pradesh, India, Engineered and deployed scalable ETL/ELT pipelines on Google Cloud Platform (BigQuery, Airflow, Cloud Storage) using Python for orchestration and automation. • Developed and optimized Airflow DAGs in Python, improving pipeline reliability and reducing processing time by 30–40%. • Optimized BigQuery SQL queries and stored procedures, cutting execution time significantly and enhancing reporting performance. • Automated data quality checks through Python-based Airflow DAGs, achieving 99% data accuracy and reducing manual intervention by 50%. • Migrated production-ready pipelines and models with zero downtime, ensuring high system availability. • Built semantic data models in AtScale for BI dashboards, reducing report generation time from hours to minutes. • Collaborated with business stakeholders to translate requirements into scalable, high-performance solutions. • Resolved production issues, delivered enhancements, and maintained system stability with 99%+ SLA compliance.

Analyst at Accenture in India, Aug 2025

Education

Bachelor of Computer Applications, Computer Programming, Specific Applications, College of Commerce

Rajwinder Pal Singh - GCP DATA ENGINEER in Indore | Tal