Abhishek Patil — Data Engineer

> 3.5+ years of experience in designing, developing, and maintaining scalable data engineering solutions across cloud platforms. > Expertise in Google Cloud Platform (GCP) and Azure, with hands-on experience in services like BigQuery, Cloud Storage, Dataproc, Cloud Composer (Airflow), and Firestore. > Proficient in building and optimizing ETL/ELT pipelines using PySpark, SQL, and Airflow, handling batch and near real-time data. > Implemented medallion architecture to manage data lakes and warehouses efficiently, supporting enterprise-level analytics. > Designed and deployed end-to-end data migration pipelines from on-premise systems to GCP using Terraform, GitLab, and cloud-native tools. > Strong in data modeling, query optimization, performance tuning, and managing large-scale structured and semi-structured datasets. > Received “On the Spot” award and Director-level appreciation for delivering high-impact solutions under tight deadlines. > Excellent at understanding business requirements and translating them into scalable technical solutions. > Passionate about automation, clean code practices, and delivering high-quality data systems that drive decision-making.

Stackforce AI infers this person is a Data Engineering expert with strong capabilities in cloud platforms and ETL processes.

Location: Pune, Maharashtra, India

Experience: 3 yrs 10 mos