Kaushikie Shrivastavaa — Product Manager
Results-driven Azure Data Engineer with 3 years of experience in building scalable, cloud-based data solutions using Azure Data Factory, Databricks, PySpark, and SQL. Specialized in US healthcare claims processing (Facets, QNXT), I’ve delivered high-performance ETL pipelines, real-time streaming systems, and executive-level dashboards using Power BI. My work has improved claims resolution speed, optimized revenue cycles, and saved ~$500K/year through automation and performance tuning. In addition to my core data engineering responsibilities, I developed an automated BRD (Business Requirements Document) generator using the Windsurf AI tool enabling faster and more accurate documentation for business stakeholders. Key Skills: ✔ Azure Data Factory, ADLS, Synapse, Databricks ✔ PySpark, SQL, Python ✔ Real-time claims & denial management pipelines ✔ Power BI Reporting & Visualization ✔ US Healthcare domain | Facets | QNXT ✔ CI/CD | Git | DevOps (basic exposure) ✔ Generative AI integration for business automation (Windsurf AI) Currently open to opportunities as an Azure Data Engineer, PySpark Developer, or Big Data Engineer to create high-impact data solutions that drive business outcomes. 📩 Let’s connect and collaborate!
Stackforce AI infers this person is a Healthcare Data Engineer with expertise in Azure and automation.
Location: Pune, Maharashtra, India
Experience: 3 yrs
Career Highlights
- Delivered high-performance ETL pipelines and dashboards.
- Improved claims resolution speed and optimized revenue cycles.
- Developed automated BRD generator using Windsurf AI.
Work Experience
Cognizant
Programming Analyst (2 yrs)
Programmer Analyst Trainee (1 yr)
Intern (6 mos)
Education
Bachelor of Technology - BTech at Gyan Ganga Institute of Technology Sciences