Grace Elizabeth
Associate Engineer - Analytics
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About
Computer Science graduate working as an Associate Engineer at Comviva, with experience in Linux systems, networking, and database environments. Completed a Data Engineering internship at Rockwell Automation, building ETL pipelines using Azure Data Factory, PySpark, Databricks, and Delta Lake.
Developed
Power BI dashboards to support KPI monitoring, analytics, and business reporting. Upskilling through NxtWave 4.0 Academy in cloud technologies and modern data engineering practices.
Experience
Associate Engineer - Analytics at Comviva (2025-09 – 2026-07)
- Analyzed telecom messaging traffic and operational data using SQL, MySQL, Linux, and Shell scripting to monitor SMS/USSD services, validate KPIs, identify service-impacting trends, and perform data-driven root cause analysis.
- Developed analytical datasets by integrating telecom traffic, error logs, and operational metrics from multiple production systems, enabling KPI reporting, trend analysis, proactive issue detection, and faster operational decision-making.
- Designed interactive Power BI dashboards with optimized data models to visualize telecom traffic, SMS/USSD success rates, error distribution, capacity utilization, SLA trends, and operational KPIs for engineering and business stakeholders.
- Collaborated with cross-functional engineering and business teams to transform operational data into actionable insights, enhancing monitoring efficiency, accelerating operational decision-making, and supporting business objectives.
Data Engineering Intern at Rockwell Automation (2025-02 – 2025-08)
- Built robust ETL pipelines using Python, PySpark, Azure Data Factory (ADF), and Databricks for batch and real-time data processing, handling datasets scaling up to 10M+ rows.
- Improved data ingestion and transformation workflows from PostgreSQL to ADLS/Delta Lake, implementing incremental loading via watermark-based logic that reduced pipeline execution windows by 20%.
- Worked with Microsoft Fabric, KQL, and Power BI to build 5+ real-time interactive dashboards, providing immediate visibility into critical operational KPIs.
- Collaborated on data validation, debugging, monitoring, and query performance tuning, contributing to an optimization initiative that reduced cloud infrastructure compute processing time by 25%.
Education
Bachelor of Engineering (B.E.) in Computer Science and Engineering – Panimalar Engineering College (2021 – 2025)
