Sukhada Gajare

Automated Data Copy (ADC)

Developed and deployed an Automated Data Copy (ADC) solution on Google Cloud Platform to automate secure and reliable data replication across environments. Built on a containerised, API-driven architecture using FastAPI, Celery, Redis, Google BigQuery, Python, IAM, Secret Manager and Terraform.The platform enabled controlled data movement for testing and validation while reducing manual effort and operational risk through metadata validation, duplicate handling and result verification.

Scheduling and Monitoring Pipeline

Designed and maintained GCP-based batch scheduling and monitoring pipeline for enterprise data workloads using Cloud Composer, BigQuery, Cloud Storage and GCP Logging. Integrated BigQuery configuration tables with scheduled DAG execution to generate operational batch schedules, enforce business rules, and trigger downstream processing, while incorporating execution tracking and alert-driven monitoring to ensure timely intervention and SLA compliance.

GCP Data Ingestion and Remediation Pipeline

Developed and implemented an event-driven GCP data pipeline for enterprise banking data ingestion, validation and automated remediation. The platform processed file-based inputs from Cloud Storage and Pub/Sub-triggered events to validate data quality, apply business rules, and resolve exceptions through automated correction workflows. Built to support high-integrity financial data processing, the solution ensured consistent governance, auditability and operational control while storing finalized datasets in BigQuery as the centralized repository for downstream analytics and reporting. The solution improved data integrity, operational efficiency, and auditability in a regulated financial environment.