Suhimugan Kennadi

Data Engineer with 3+ years of experience delivering scalable data pipelines and analytics solutions, backed by an MSc in Data Science from the University of Sheffield. Skilled in SQL, Python, PySpark, Delta Lake, and Power BI, with expertise in data integration, ETL development, performance optimization, and large-scale data processing. Passionate about building reliable, high-performance data platforms that enable data-driven decision-making.

Interim IT Technician - IT & Data Operations - Amazon FC LBA2 - Doncaster, United Kingdom

(2025-06 - 2026-02)

• Collaborated with cross-functional teams and operational leaders to deliver data-driven solutions using SQL, Python, Power BI, and Amazon QuickSight, supporting process optimization and operational decision-making.
• Analyzed and transformed operational datasets containing 100K+ records to identify capacity constraints, performance trends, and process inefficiencies across warehouse operations.
• Automated KPI reporting workflows and developed dashboards to improve data accessibility, increase stakeholder visibility, and reduce manual reporting activities.
• Performed data validation, root-cause analysis, and process investigations to support continuous improvement initiatives and provide actionable insights to technical and operations teams.

Junior Data Analyst - Hybrid - Infobyd Software Solutions - Sheffield, United Kingdom

(2024-02 - 2025-06)

• Used SQL and Python to extract, clean, and analyze lead and campaign datasets, supporting business reporting and data-driven planning activities.
• Evaluated customer funnel performance and conversion metrics using Google Analytics and internal datasets, contributing to a 10–15% improvement in lead quality and campaign effectiveness.
• Developed and maintained 4+ Power BI dashboards to monitor delivery performance, project KPIs, and workload distribution, improving visibility for business stakeholders.
• Conducted data quality checks, validation, and reconciliation activities across multiple datasets, reducing reporting errors and improving consistency between marketing and operations teams.

MSc - Data Science - The University of Sheffield (2024)

BTech - Information Technology - Vels University (2022)