Prashanth Enuganti

Google Certified Professional Data Engineer with 9+ years architecting scalable enterprise data platforms on GCP. Specialized in BigQuery, Dataproc, PySpark, Airflow/Composer, Cloud Functions, GCS, and enterprise-scale data modernization. Strong background in scalable pipeline design, idempotent processing, data modeling, CI/CD automation, and cloud cost optimization. Experienced in leading high-scale batch and event-driven data engineering initiatives across banking, healthcare and retail.

Technical LEAD at Coforge

Architected enterprise banking data pipelines on GCP.

• Improved SLA performance by ~35% through query optimization and partition pruning.
• Built metadata-driven ingestion reducing onboarding effort by ~20%.
• Implemented idempotent reprocessing framework for duplicate and late-arriving data.
• Implemented automated DQ controls reducing production defects significantly.

Senior Data Engineer at Cognizant

Designed PySpark pipelines processing multi-TB healthcare datasets daily.

• Reduced batch runtime from hours to near real-time processing windows through Spark tuning.
• Reduced BigQuery compute costs by ~28% through clustering and workload tuning.
• Supported legacy-to-cloud modernization using Dataproc, Composer and BigQuery.

Senior System Engineer at TCS

• Delivered Python modernization solutions replacing legacy logic.
• Built monitoring solutions and supported critical production systems.