• Operated and troubleshot packaging equipment, achieving a reduction in downtime across production lines• Ensured compliance with quality assurance standards utilizing GMP, maintaining accurate documentation for over 1,000 production batches• Collaborated with cross-functional teams to analyze production processes, resulting in process improvements implemented in the last quarter• Monitored and reported on operational efficiencies, leveraging data insights to enhance performance and reduce inefficiencies

Collaborated with cross-functional teams during peak shifts, meeting hourly dispatch targets for operational efficiencyProcessed and sorted 500+ packages per shift, ensuring smooth material flow and continuous operationsMaintained accuracy in tracking records, updating logistics management systems to prevent sorting delaysConducted quality assurance checks on 200+ packages daily, ensuring compliance with safety and regulatory standardsStreamlined loading workflows, increasing daily throughput and reducing dock downtime during peak operations

Created 30+ Splunk dashboards for specific business needs, leveraging big data for financial reporting and boosting stakeholder collaboration in an agile environment.Developed Splunk Cloud apps using XML, Splunk processing language, and Python, resolving client issues monthly and ensuring seamless data integration.Automated data validation with Python scripts, reducing inconsistencies and maintaining high data quality.Managed technical documentation, ensuring clear records of data workflows and continuous process improvements.Completed epics and user stories in an agile Scrum environment, aligning project development with stakeholder needs.Tested and debugged Splunk dashboards, reducing system issues and enhancing overall reliability.Coordinated script deployment across 4 environments with ServiceNow, improving execution speed and ensuring ITIL compliance.Set up and configured Splunk forwarders and indexers, enabling efficient ingestion of data daily.Developed and managed lookup tables with 100,000+ entries, enhancing data retrieval efficiency across multiple dashboards.Implemented data parsing and field extraction for data sources using SPL, improving reporting accuracy.Monitored and optimized Splunk infrastructure, achieving a reduction in query response time and ensuring 99.9% uptime.Integrated data from sources, including log files, databases, and cloud platforms, supporting comprehensive analytics across 4 environments.Managed user roles and permissions for users in Splunk, ensuring secure access to data and compliance with IT policies.Created and scheduled alerts and reports, delivering timely insights into system performance and detecting security events proactively.Engaged in daily scrum meetings with North American clients, gaining exposure to a dynamic work environment and effectively managing communication across different time zones.

Participated and contributed to an internal data engineering project, leading to a decrease in data processing time, leveraging SQL, ETL Frameworks, and Python scripting skills.Collaborated on the development and implementation of Python-based solutions for data processing, resulting in a reduction in data processing time and contributing to improved data quality and efficiency. Utilized tools such as Apache Spark, Pandas, and Airflow.Developed and implemented Python scripts to integrate different data sources, enhancing data consistency and reliability by 5-10%, using SQL, Pandas, and data transformation techniques.