Sujit Gargate

About Sujit Gargate

Data Engineering Professional with 4+ years of experience designing, building, and optimizing scalable data pipelines and cloud-based analytics solutions. Currently based in India but actively seeking visa-sponsored opportunities in Europe (Germany, Netherlands, Belgium).Specialized in:• Building enterprise-grade data warehouses and data marts using GCP and cloud technologies• Designing and implementing ETL/ELT pipelines using Spark, PySpark, and Airflow• BigQuery optimization including advanced partitioning and clustering strategies• Data modeling and quality assurance for complex analytical datasets• Cloud architecture using GCP services (Dataflow, Pub/Sub, Cloud Storage, Vertex AI)European Market Positioning: Open to Visa Sponsorship: Actively seeking EU Blue Card, highly skilled migrant visas, and work permits through recognized European employers Relocation Ready: Fully committed to relocating to Germany, Netherlands, or Belgium Work Authorization: Require employer sponsorship (EU Blue Card, IND Sponsor, or Belgian work permit)Tech Stack: Python | PySpark | Spark SQL | BigQuery | Airflow | Apache Airflow | GCP | Dataflow | Cloud Storage | Data Warehousing | ETL/ELT | DBT | Vertex AI | Data Quality & ValidationAdditional Qualifications for European Context:• Strong understanding of GDPR and EU data privacy compliance• Experience working with international teams and European tech standards• English proficiency (professional level)Passionate about building data-driven solutions that enable organizations to make better decisions while contributing to Europe\'s growing data engineering ecosystem.

Experience

1. Lead Data Engineer

   Wipro

   Jun 2025 — Present · Pune, IN

   Architected and implemented enterprise-grade data warehouses and data marts supporting 10+ downstream analytics applications and BI dashboards• Designed and optimized end-to-end ETL pipelines using Spark, PySpark, and Airflow, reducing data processing time by 40% and improving query performance• Implemented advanced BigQuery optimization strategies including partitioning and clustering, reducing query costs by 30-40% and latency by up to 50%• Led data modeling initiatives ensuring data quality and consistency across multiple data domains and business units• Built scalable data ingestion pipelines using GCP Dataflow, Pub/Sub, and Cloud Storage to process 100M+ records daily• Implemented automated data quality validation frameworks (DBT) catching data anomalies and ensuring 99.9% accuracy• Mentored and trained junior data engineers on best practices in data engineering, ETL design patterns, and GCP cloud services• Technologies: Data Warehousing | ETL/ELT | BigQuery | Spark | PySpark | Airflow | GCP | Dataflow | Data Modeling | Data Quality | Performance Optimization

Education

• Savitribai Phule Pune University

  Bachelor of Engineering - BE, Computer Engineering

  2015 — 2018

• Vishwakarma Institute Of Technology

  Master of Technology - MTech, Computer Science

  2018 — 2020