Pattipaka Ramesh

• Expertise in Data Migration: Oversaw the effective transfer of data from Azure Snowflake to GCP BigQuery by utilizing Composer and Dataflow, two GCP services.
• Automation Implementation: Configure GitHub Actions pipelines to automate data migration operations, such as deploying views and microservices and starting Composer DAGs.
• Security Configurations: To provide strong cloud security, VPC Service Controls were set up to stop data exfiltration when managing PII and PCI data.
• Identity and Access Management: Oversaw authentication procedures and made sure service accounts for GCP projects were renewed on schedule.
• Workflow Maintenance: Corrected DAG errors during data ingestion by maintaining and troubleshooting Composer and Dataflow components.
• Monitoring and Visualization: Grafana dashboards were set up for real-time data visualization and monitoring, while Prometheus was deployed for metrics gathering.
• Developed and deployed Java, Go, and Python microservices on GKE clusters.
• Established and launched Kubernetes clusters on GCP for containerized applications.
• Created Helm charts to deploy applications andservices on Kubernetes.
  To enable external access to Kubernetes services, configure Ingress resources using routing rules.

• Configured, managed, and monitored cloud-based services such as AWS EC2, S3, EBS, ELB, RDS using Terraform and Ansible.
• Implemented systems automation using scripting languages like Python and Bash.
• Created CI and CD pipelines with Jenkins and Docker to automate the build process of applications.
• Provided support for web servers configuration and maintenance activities.
• Set up monitoring tools like Graphite and Grafana to track performance metrics.
• Collaborated with developers in order to troubleshoot application related issues quickly.
• Resolved customer issues by establishing workarounds and solutions to debug and create defect fixes.

• Integrated third-party APIs into existing systems.
• Collaborated with UI/UX designers to improve software usability and user experience.
• Implemented robust code in multiple programming languages including Java, C++, and Python.
• Assessed code during testing stage to determine potential glitches and bugs.
• Designed software for real-time operating systems QNX, ThreadX and others.
• Helped junior developers with debugging code and technical support.
• Worked closely with systems analysts, engineers and programmers to understand limitations, develop capabilities and resolve software problems.

• Developed and maintained secure credit card processing applications, ensuring compliance with PCI DS standards and enhancing transaction security.
• Collaborated with cross-functional teams to design and integrate RESTful APIs for seamless communication between payment gateways and internal systems, optimizing transaction processing times by 30%.
• Implemented advanced fraud detection algorithms using machine learning techniques, resulting in a 20% reduction in fraudulent transactions and significant cost savings for the organization.
• Managed and optimized relational databases for transaction records using SQL, ensuring data integrity and improving query performance by 40%.
• Partnered with UX/UI designers to streamline the user interface of credit card applications, leading to a 25% increase in user satisfaction ratings through A/B testing.
• Conducted thorough code reviews and security assessments of credit card applications, reducing vulnerabilities and maintaining compliance with regulatory requirements.
• Analyzed and optimized application performance, utilizing profiling tools to identify bottlenecks, resulting in a 50% decrease in transaction processing latency.
• Worked closely with product managers and stakeholders to gather requirements and deliver tailored credit card solutions that align with customer needs and business objectives

• Designed and implemented automation processes for policy issuance, claims processing, and underwriting workflows.
• Analyzed existing business processes to identify bottlenecks, inefficiencies, and opportunities for automation.
• Collaborated with IT and data engineering teams to deploy automation solutions using tools like RPA (Robotic Process Automation) and workflow management systems.
• Successfully automated the policy issuance process, reducing manual processing time by 40%, leading to a decrease in turnaround time from 5 days to just 3 days.
• Improved claims processing efficiency by 30% through the automation of data entry tasks, achieving a decrease in claims resolution time from an average of 10 days to 7 days
• Decreased data entry errors by 50% through the implementation of automated validation checks, enhancing data accuracy and customer satisfaction.
• Facilitated training sessions for 50+ team members, resulting in a 90% adoption rate of new automated processes within the first 3 months.

Tools & Technologies:

• RPA Tools (e.g., UiPath, Automation Anywhere)
• Workflow Automation Software (e.g., Zapier, Microsoft Power Automate)
• Data Analysis Tools (e.g., Excel, SQL)
• Project Management Tools (e.g., JIRA, Trello)