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Data Engineer with 1+ years in Data Analytics & Business Intelligence
Data Analyst with 1 year of full-time experience in data analytics, business intelligence, and reporting using Power BI, SQL Server, DAX, Power Query, SSIS, and data modeling. Strong experience in data extraction, data cleaning, ETL processes, and performance optimization to deliver accurate dashboards, KPIs, and insights for business decision-making. Completed a 4-month Java Backend Developer internship on a healthcare AI project for clinical data governance, contributing to data processing, backend services, and SQL-based data analysis in enterprise environments.
Sethu Institute of Technology
B Tech · Information Technology
August 1, 2020 – June 30, 2024
Mindbridges IT Services and IT Consulting
Java Backend Developer Intern
August 1, 2025 – December 1, 2025
Chennai, Tamil Nadu, India
Mindbridges IT Services and IT Consulting
Data Analyst
July 1, 2024 – July 1, 2025
Chennai, Tamil Nadu, India
CIA - Clinical Intelligence Assistant (Healthcare Data Governance)
August 1, 2025 – December 1, 2025
Worked on the design and development of a backend-driven AI-powered clinical analytics system aimed at improving healthcare data governance and clinical decision support. The CIA project focused on transforming complex and unstructured clinical data stored in enterprise databases into human-readable, doctor-friendly summaries, enabling faster understanding of patient history and medical records. Led backend data processing and AI integration to convert natural language clinical queries into validated and optimized Oracle SQL queries using Azure OpenAI, ensuring accuracy, safety, and compliance with healthcare data standards. Implemented robust data handling logic, schema validation, and auto-healing mechanisms to maintain high query reliability in production environments. Designed and implemented a high-performance, multi-layer caching architecture using Redis, database caching, and in-memory caching to significantly reduce response time and improve system scalability. Delivered end-to-end backend solutions that assembled structured query results, generated clinical summaries, and exposed reliable APIs, supporting healthcare professionals in data-driven clinical decision-making and operational efficiency.
Microsoft fastTrack - Data Security
July 1, 2024 – July 1, 2025
Worked on Microsoft FastTrack Data Security analytics, supporting over 10 security workloads, with primary ownership of critical products Information Protection (IPP2) and Information Rights Management (IRM). The project focused on analyzing enterprise customer license usage and adoption patterns for global MNC clients such as Accenture, Mitsubishi, and other large enterprises. Led data analysis for prioritized customers (organizations purchasing 150+ licenses), evaluating product interest, license consumption, and actual usage versus purchased capacity. Extracted and analyzed data from enterprise databases using SQL, transformed and modeled data in Power Query, and developed Power BI dashboards to provide actionable insights on customer behavior, adoption trends, and license utilization. Designed and delivered end-to-end reporting solutions, following the complete DEV → UAT → PROD deployment lifecycle, ensuring data accuracy, performance optimization, and stakeholder readiness. These dashboards supported Microsoft and partner teams in customer engagement, usage optimization, and strategic decision-making.
Cultural Fit Analysis
The candidate's project experience, particularly with Microsoft FastTrack and a healthcare AI system, indicates adaptability to diverse industry contexts and complex problem domains. Their involvement in both data analysis and backend development roles suggests a versatile skill set. The use of AI-assisted development tools (Cursor) and integration of Azure OpenAI shows an openness to adopting new technologies and innovative solutions, which aligns with a forward-thinking culture. The breadth of tools and technologies used (SQL, Power BI, DAX, Power Query, Java, Redis, Azure OpenAI) demonstrates a willingness to learn and apply various technical stacks.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their work on complex data analysis and AI integration projects. Their experience in designing end-to-end reporting solutions and implementing robust data handling logic suggests a methodical and reliable approach to operational tasks. The focus on performance optimization and data accuracy indicates attention to detail and a commitment to delivering high-quality solutions. Collaboration is implied through stakeholder engagement in reporting projects.