Nithyakalyani D

Designed milestone and incremental load strategies for data migration, ensuring data consistency and reliability. Re-engineered data pipelines using PySpark and BigQuery, optimizing costs and efficiency. Developed a scalable mechanism for handling zipped/unzipped files using GCP Cloud Functions for automated storage and retrieval. Automated deployments with Terraform and GitLab CI/CD, reducing manual efforts and enhancing operational efficiency. Leveraged data modeling best practices to structure datasets in BigQuery, improving accessibility and performance. Configured and developed GCP services (BigQuery, GCS, Cloud Functions) to support advanced analytics and business insights.

Designed and optimized data ingestion and transformation workflows using PL/SQL, Unix scripting, and Oracle Apex, ensuring data integrity, efficiency, and cost reduction. Debugged and resolved critical issues, improving system performance and reducing data loading runtime by 90%, leading to faster insights and operational efficiency. Led performance tuning and ETL pipeline optimization, enhancing scalability and system reliability while reducing costs. Collaborated in Agile teams, actively participating in sprint planning, daily stand-ups, and presenting solutions to stakeholders. Developed and automated CRUD operations and user management in Oracle Apex, improving data accessibility and supporting informed decision-making.