Er. Kuldipak Patil — Backend Engineer

I am a Data Engineer with hands-on experience in designing, building, and maintaining scalable data pipelines on Google Cloud Platform (GCP). I have worked on real-world data engineering use cases involving data ingestion, transformation, and analytics using tools like BigQuery, Cloud Storage, Pub/Sub, Airflow, SQL, and PySpark. My work focuses on building reliable ETL/ELT pipelines, optimizing query performance, and enabling data-driven decision-making. Currently working as a Data Engineer Associate at Spring Quantum, where I contribute to production-grade data pipelines and analytics workflows. Previously, I gained strong foundational experience as a Data Engineer Intern, working on cloud-based data processing and automation. Key strengths: • GCP Data Engineering (BigQuery, Cloud Storage, Pub/Sub) • SQL (advanced queries, window functions, optimization) • ETL / ELT pipeline development • Workflow orchestration using Airflow • PySpark for data processing • Data modeling for analytics I am actively looking for opportunities as a Data Engineer where I can work on large-scale data systems, cloud-native architectures, and high-impact data platforms.

Stackforce AI infers this person is a Data Engineer specializing in cloud-based data solutions and scalable data architectures.

Location: Pune, Maharashtra, India

Experience: 1 yr 5 mos