Data Engineer with 1+ years in data processing, analytics & visualization.
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with 1.5 years of experience in data engineering, visualization, and reporting. Proficient in SQL, Python, Snowflake, Power BI, and cloud platforms like AWS and Azure. Experienced in optimizing ETL workflows, ensuring data quality, and building actionable dashboards to drive business decision-making in the healthcare domain.
National Institute of Technology, Raipur
B.Tech · Chemical Engineering
August 1, 2021 – June 30, 2025
Innovaccer Analytics
Associate Data Analyst - Data Engineering
July 1, 2025 – Present
Noida, Uttar Pradesh, India
Innovaccer Analytics
Associate Data Analyst – Intern
January 1, 2025 – July 31, 2025
Noida, Uttar Pradesh, India
Recommended Care – Clinical Decision Support & Analytics System
June 25, 2026 – Present
Ensured 99.5% data availability by managing ingestion of 500K+ daily records from multiple sources into Snowflake, enabling reliable and uninterrupted downstream analytics. Analyzed near real-time clinical and claims data for 4.5M+ members across 10+ healthcare clients, delivering analytical insights across 3 care categories – Immunization, Wellness, and Chronic Care - to support clinical decision-making. Defined and standardized 50+ care gap analytical rules for chronic disease management (diabetes, hypertension, COPD) and pediatric immunization, improving recommendation coverage by 25% and reducing reporting turnaround by 70%. Performed data validation and quality checks across 5+ data layers to ensure analysis-ready datasets, reducing data incidents by 45% and maintaining accuracy in downstream stakeholder reporting. Built Power BI dashboards tracking 8+ clinical KPIs with DAX-driven measures, translating complex healthcare data into actionable insights for 10K+ daily active provider users.
Cultural Fit Analysis
The candidate's experience is heavily concentrated within the healthcare analytics domain, specifically with Innovaccer Analytics. While this provides deep domain expertise, it suggests a potentially narrow exposure to diverse industry challenges or data engineering paradigms outside of healthcare. The projects and roles align well with a Data Engineer position, emphasizing data ingestion, transformation, quality, and reporting. The breadth of skills is good for the target role, but the lack of diverse project types or industry exposure might limit adaptability to different organizational contexts.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through identifying bottlenecks and optimizing workflows. Their experience in reducing operational effort via automation scripts suggests an efficiency-driven mindset. The focus on data quality and validation indicates attention to detail and a commitment to reliable data. The candidate's work on clinical decision support systems and client-facing dashboards implies an ability to translate complex technical work into business value.