PranayTeja Sangisetti
Hyderabad
Summary
Results-driven Software Engineer / Data Analyst with over 2.6 years of experience delivering data-driven insights and operational analytics for large-scale telecom projects. Proficient in SQL, Python, and Power BI, with expertise in reporting automation and intermediate skills in Microsoft Azure (ADF, Azure SQL, Data Lake). Committed to advancing in cloud and DevOps environments while leveraging strong analytical capabilities.
Overview
2
2
years of professional experience
Work History
Software Engineer
Sreenivasam Infotech LLP
06.2023 - 09.2025
- Worked on end-to-end analytics and reporting for telecom initiatives including Cable Matrix, IP Data Storage, Telemetry, E2E Operations, and Decommissioning.
- Designed and maintained Power BI, Superset, and Grafana dashboards to track operational KPIs, SLAs, and process health.
- Developed complex SQL queries using joins, CTEs, and window functions to support large datasets and performance reporting.
- Built Python automation scripts for data validation, cleansing, and recurring analysis tasks.
- Supported Azure-based data workflows, including:
Monitoring and validating ADF pipelines
Working with Azure SQL for structured reporting data
Supporting data ingestion into Azure Data Lake - Assisted senior engineers in troubleshooting pipeline failures, data mismatches, and refresh issues.
- Created technical documentation, dashboards guides, and SOPs to support operational teams.
- Collaborated with geographically distributed teams, following Agile practices and structured delivery processes.
Education
Bachelor of Technology - Mechanical Engineering
Malla Reddy Engineering College
Hyderabad, India08-2022
Skills
- SQL, Advanced Excel (Pivot Tables, Power Query, Macros)
- Python (Pandas, NumPy, automation scripts)
- Data Analysis, Data Cleaning, KPI Tracking
- Dashboarding: Power BI, Superset, Grafana, Tableau
- Azure Data Factory (pipeline creation & monitoring)
- Azure SQL Database
- Azure Data Lake (data ingestion & storage concepts)
- Basic Azure resource monitoring & troubleshooting
- Data movement across Bronze / Silver / Gold layers (project-based)
Data & Analytics
Cloud & Azure (Intermediate)
- CI/CD concepts (exposure)
- Version control (Git – basics)
- Logging, monitoring & alert analysis
- Documentation & runbooks
- Problem-solving & analytical thinking
- Stakeholder communication
- Process documentation
- Agile / SDLC exposure
- Cross-functional collaboration
DevOps & Engineering Basics
Professional Skills
Accomplishments
- Cable Matrix – Operations Analytics
- Built SQL based analytical frameworks to assess cable utilization, service configuration, and operational bottlenecks.
- Delivered insights that helped reduce manual effort and improved operational efficiency by 20%. E2E Operational Dashboard
- Developed multi-layer dashboards in Power BI & Superset for daily, weekly, and monthly reporting.
- Integrated data from Azure SQL and on-prem sources. IP Data Storage & Telemetry
- Supported Azure Data Lake ingestion for telemetry data.
- Automated stale asset identification using Python + SQL logic.
Timeline
Software Engineer
Sreenivasam Infotech LLP
06.2023 - 09.2025
Bachelor of Technology - Mechanical Engineering
Malla Reddy Engineering College