SAKSHI SINHA

Devised queue-based multithreaded test execution system for efficient test execution, reducing runtime by 25%.

Formulated and executed a new feature to add support for Safari in the existing Python framework, boosting customer engagement by 18%.

Resolved 10+ coding errors and added concurrent integration tests to improve test coverage and execution speed.

Automated UI test infrastructure setup on macOS with AppleScript, Bash, and Python streamlining execution.

Enhanced system visibility and fault diagnosis for cloud services by implementing distributed tracing with Jaeger.

Developed an observability framework by correlating Jaeger traces, Elasticsearch logs, and Druid metrics on Grafana to reduce mean time to resolution by 10%.

Automated AWS EC2 provisioning using Terraform, Ansible, and Jenkins, implementing a blue-green CI/CD pipeline for zero-downtime deployments.

Collaborated with 5+ service teams to implement new cloud service testing scenarios in Python, replicating real-world user interactions.

Containerized and deployed testing scenarios using Docker and Kubernetes, ensuring scalable and efficient execution in cloud environments.

Collaborated with data architects and data analysts to design ExxonMobil's global data lake to centralize data from on-premise and cloud sources distributed across 6 regions.

Performed SQL query optimization for data conversion and transformation across Snowflake data zones.

Spearheaded migration of on-premise data workflows to the Snowflake cloud data warehouse, resulting in 30% faster data processing speeds and improved scalability for growing data volumes.

Led the design and implementation of reliable process management software using Ansible, PowerShell, and PI AF to handle unresponsive services, increasing uptime by 24% across six regions.

Devised a solution to create and log Service Now tickets via Azure Function App, Azure Log Analytics, and Service Now API, reducing abnormal activity resolution time by 12%.