Designed and implemented custom data extraction pipelines to integrate data from APIs, databases, and cloud services into centralized storage.Automated data extraction using AWS Lambda for real-time or scheduled processing, eliminating the need for dedicated servers.Leveraged AWS CloudFormation to deploy infrastructure as code, automating resource provisioning (e.g., S3, Lambda, IAM roles).Implemented solutions in CI/CD pipelines to ensure efficient integration and delivery.Developed automated monitoring scripts to track data quality metrics (completeness, accuracy, consistency) across ETL pipelines.Set up proactive alerting mechanisms using AWS CloudWatch to detect and notify stakeholders of data quality issues in real-time.Automated internal processes with Python, saving 20+ hours of manual work per week.Created dynamic dashboards and KPIs using GoodData to deliver real-time insights that support decision-making and process optimization.Collaborated with cross-functional teams to define data quality standards and implement validation rules at key stages of the data pipeline.

Designed and implemented an end-to-end data analytics system to support two high-priority clinical programs, enabling data-driven decision-making and optimizing the analysis process.Developed data integration models and visualizations using Snowflake, Python, and Tableau, providing actionable insights for clinical and R&D teams.Processed large-scale RNA sequencing data, creating automated pipelines to extract biological insights, improving research speed and accuracy.Computed 300+ derived metrics for critical quality attributes and process parameters, enhancing clinical process monitoring and optimization.Built and managed Tableau dashboards, delivering real-time analytics for cross-functional teams of 100+ members, driving collaboration and informed decisions.Conducted statistical analysis of clinical data, identifying patterns and trends to support R&D and improve program outcomes.Collaborated with scientists and engineers to standardize data structures across clinical studies, ensuring seamless integration and analysis.Documented workflows and delivered technical presentations to facilitate knowledge sharing and alignment across teams.

Led a team of four in data preparation and integration for test environments across multiple sprint cycles, ensuring smooth and efficient testing.Tested 90+ functional and interface changes, ensuring high-quality delivery on tight deadlines and minimizing project disruptions.Designed and executed test scenarios, covering end-to-end system functionality and user workflows to ensure comprehensive coverage and robust performance.Automated test scripts with TOSCA, reducing manual testing efforts by 40% and accelerating release cycles.Collaborated with business analysts and developers to translate requirements into test strategies, ensuring alignment and smooth communication.Adhered to Agile methodologies, participating in daily scrums, sprint planning, and retrospectives to drive continuous improvement.Contributed to a product launch generating AUD 40M in annual revenue by validating core functionalities and ensuring a seamless user experience.Conducted root cause analysis of critical defects, reducing recurrence rates by 15%, enhancing overall product quality.