System Engineer | Infosys Limited
Python Automation and Libraries:
- Email Automation: Developed and deployed Python scripts to automate the downloading of task emails from Outlook. Implemented automated email renaming based on naming conventions using Python libraries.
- SAP Integration: Automated SAP portal interactions using Python. Logged in, executed various T-Codes, and managed report scheduling and downloading. Automated the renaming, uploading, and internal processing of reports, and streamlined report delivery to teams.
Failure Notification Automation:
- Designed and implemented a Python script for monitoring failure notifications. Parsed emails to identify failed applications and specific failure points, and created a comprehensive log for efficient issue resolution.
Dashboard and Reporting:
- Microsoft Visio Integration: Created and maintained detailed flowcharts in Microsoft Visio to represent application workflows and failure points. Integrated Python scripts with Visio for real-time updates on application status and failure metrics.
- Data Visualization: Developed and enhanced dashboards using Tableau and Power BI to visualize key performance indicators and system metrics. Ensured dashboards provided actionable insights and supported data-driven decision-making.
Debugging and Optimization:
- Leveraged automated email monitoring and Visio dashboards to enable targeted debugging of BOT workflows. Reduced manual debugging efforts by utilizing automated insights for efficient troubleshooting.
Client and Stakeholder Engagement:
- Gathered and analyzed detailed requirements from international clients, focusing on application steps, failure points, and access needs. Coordinated with clients for process validation and conducted review meetings to ensure automation accuracy and feasibility.
Automation Implementation:
- Implemented Python-based automation scripts to monitor application statuses with a color-coded system for real-time status updates (red for failed, green for passed). Enhanced internal portals for clear status reporting.
Data Engineering and Compliance:
- Collected and integrated data from multiple sources, including databases and APIs, using ETL tools for seamless data processing. Maintained data integrity and ensured compliance with regulatory standards (GDPR, HIPAA). Established data governance policies to uphold data quality.
Leap Platform Projects:
- Dashboard Enhancement: Improved Leap platform monitoring dashboards to deliver comprehensive insights and updated SVG mappings for enhanced data visualization and user decision-making.
- BOT Workflow Monitoring: Conducted thorough monitoring and testing of BOT workflows across VDI environments, identifying and addressing potential issues swiftly.
- Platform Integration: Contributed to Leap platform integration projects, utilizing PySpark and Hadoop for real-time data analytics and processing. Developed and executed SQL queries for data analysis to support business decisions.