Haritha P.

• Architected and deployed data pipelines using Google Cloud Dataflow, Big Query, and Cloud Storage to handle large-scale data processing for business intelligence and analytics • Implemented real-time data ingestion using Pub/Sub and Dataflow, enabling faster decision-making by reducing data latency • Streamlined ETL processes by optimizing data transformation pipelines and ensuring seamless integration with external data sources, enhancing data quality and consistency • Collaborated with data scientists and analysts to support machine learning models by preparing and delivering large, structured datasets in Big Query • Enhanced monitoring and alerting systems for data workflows using Cloud Monitoring, resulting in faster resolution of pipeline failures and performance issues • Led the migration of legacy data systems to GCP, ensuring minimal downtime and seamless integration with modern cloud-based data solutions, improving data accessibility and scalability • Developed data governance policies and implemented best practices for data security and compliance, ensuring adherence to industry standards and regulatory requirements • Conducted performance tuning and cost optimization of Big Query queries and Cloud resources, reducing overall cloud expenses

Resolved application issues, including browser-related problems and operating system compatibility on Windows, macOS, and mobile platforms • Conducted server decommissioning and executed data migrations from on-premises servers to cloud-hosted environments to improve scalability and system performance • Installed and configured SSL certificates on local servers to secure data transmissions and ensure compliance with industry standards. • Set up Single Sign-On (SSO) for integrating HMH programs, streamlining user access and enhancing security • Collaborated with development and infrastructure teams to investigate system integration issues, analyzing application logs and network traces to ensure seamless interoperability between cloud-hosted services and legacy platforms

Developed and maintained Mainframe-based applications for the ATM/POS Transaction Engine Terminal, ensuring seamless processing of financial transactions across banking networks • Enhanced COBOL programs to implement business logic for ATM withdrawals, POS transactions, balance inquiries, and fund transfers, ensuring compliance with industry standards and banking regulations • Utilized CICS for developing and managing online transaction processing, optimizing real-time transaction performance across various banking channels • Designed and executed JCL scripts for batch processing tasks, including daily transaction reconciliation, end-of-day processing, and data archival, improving system efficiency and reliability • Collaborated with QA and production support teams to investigate transaction failures and abends, analyzing system logs and dump codes to identify root causes and implement timely code fixes in COBOL and JCL