Mitali Singh

Data and Analytics professional with hands-on experience in SQL, Python, data manipulation, ETL workflows, and BI reporting. M.Tech in Computer Science Engineering (Big Data Analytics) with experience working on large-scale telemetry data, query optimization, data validation, and analytics-ready datasets. Skilled in SQL, Python, Tableau, Power BI, Spark, Databricks, and data warehousing concepts, with exposure to e-commerce analytics through end-to-end data pipeline projects.

Software Engineer Intern at Nokia Solutions and Networks (2025-08 – 2026-06)

• Analyzed large-scale telemetry datasets using SQL, Apache Spark, and Databricks, optimizing data aggregation queries and reducing processing latency by 10%.
• Automated incremental data extraction and ETL workflows using Python, including telemetry collection and daily delta processing, reducing batch execution time by 9%.
• Performed data validation, log analysis, anomaly investigation, and root-cause analysis across distributed Linux environments, reducing issue investigation time by 8%.
• Built a C++-based test automation and data validation tool for real-time system operations data, reducing manual validation effort by 11% and improving integration testing efficiency.
• Refactored 5 legacy data-processing and state components, improving processing stability and minimizing production assertion faults by 11%.
• Containerized data extraction microservices using Docker, standardizing deployment environments and reducing configuration-related rollbacks by 10%.
• Developed TLS enable/disable functionality in the NE3S software stack without service restart, reducing configuration-related downtime and improving deployment reliability.

M.Tech in Computer Science Engineering in Big Data Analytics – Vellore Institute of Technology (2024 – 2026)

B.Tech in Computer Science Engineering – United Institute of Technology, AKTU (2019 – 2023)