Prasanth M

Cloud and data engineer with 2 years of production experience building event-driven pipelines, automating data workflows with Python, and delivering operational insights at scale on Google Cloud Platform. Proven ability to reduce manual effort and improve data accuracy in high-volume enterprise environments. Hands-on across GCP, AWS, and Azure with strong SQL and Python skills. Master of Engineering Project Management from AUT. Immediately available in Auckland.

Programmer Analyst at Cognizant Technology Solutions (2022-12 – 2024-12)

Worked on SPSF Package Tracking using GCP, Big Query, Pub/Sub, Cloud Run, Cloud Functions, and Python. Also developed Sharp II Scanner Automation using Python, Pandas, and Remote Server Scripting.

• Achieved a 30% improvement in tracking accuracy. Designed and maintained real-time event-driven data pipelines on GCP to detect package misplacements across UPS dispatch facilities.
• Managed and queried large-scale Big Query datasets using SQL to identify operational trends and generate automated KPI reports for stakeholders.
• Built automated Python reporting pipelines via Cloud Functions — extracting metrics from Big Query and writing structured reports to Cloud Storage, eliminating manual reporting.
• Monitored Cloud Run job execution, troubleshooting failures and maintaining production uptime in a high-volume Agile environment.
• Reduced manual diagnostics effort by 50%. Developed Python scripts to remotely extract firmware, configuration, and health data from scanner servers across UPS facilities.
• Processed data with Pandas and generated consolidated Excel reports giving operations teams a clear view of device status across all sites.

Data Integration Intern at Cognizant Technology Solutions (2022-01 – 2022-06)

Worked on Hospital Admission Data Pipeline using Azure Data Factory, ADLS Gen2, and SQL.

• Built an Azure Data Factory pipeline to migrate hospital CSV data from on-premises systems to ADLS Gen2, including validation logic (file checks, row-count reconciliation) and data cleansing steps.
• Loaded clean, transformed data into a SQL database for downstream analytics; documented architecture and transformation rules for handover.

Virtual Project Management Intern at WSP via Auckland University of Technology (2025-06 – 2025-07)

• Supported project planning, scheduling, and stakeholder reporting across a simulated enterprise environment; prepared documentation and tracked deliverables against milestones.

Crew Member at Pizza Hut (2025-06 – Present)

• Customer-facing role demonstrating reliability, communication, and consistent performance in a fast-paced team environment.

Master of Engineering Project Management in Engineering Project Management – Auckland University of Technology (2025)

Bachelor of Electronics & Communication Engineering in Electronics & Communication Engineering – Thiagarajar College of Engineering (2018-06 – 2022-06)