Muskan Malviya — Data Engineer

🚀 Turning Data into Actionable Insights Passionate Data Engineer with deep expertise in Snowflake, SQL, and cloud-based data engineering. I design and implement scalable, high-performance data solutions, enabling businesses to unlock the full potential of their data. From architecting centralized data warehouses to optimizing self-service analytics, I bring end-to-end solutions that drive efficiency, automation, and business impact. With a strong foundation in Snowflake, I specialize in advanced data modeling, pipeline automation, and integrating cloud-native technologies. I’ve played a key role in building Snowflake Native Apps, streamlining ETL frameworks, and leveraging AI/ML for data-driven decision-making. My experience spans the insurance, retail, and finance domains, where I have successfully delivered solutions that optimize reporting, enhance security, and accelerate insights. Here’s how I bring data to life: Snowflake & Advanced Data Engineering – Designed and optimized high-performance data ecosystems, leveraging multi-cluster architectures, dynamic scaling, and workload management to handle billions of records with maximum efficiency. End-to-End Advanced Analytics – Delivered predictive and prescriptive analytics, enabling real-time decision-making, reducing operational risks, and improving data accuracy across domains. Self-Service BI & Data Democratization – Built scalable BI solutions, empowering non-technical users and fostering a data-driven culture. AI-Driven Insights & ML Solutions – Developed AI-powered risk models for fraud detection and exposure analysis, optimizing underwriting strategies and risk assessment accuracy by 40%. Guidewire & Insurance Data Solutions – Led a Snowflake migration integrating Guidewire (PolicyCenter, BillingCenter, ClaimCenter), streamlining claims processing, and enhancing premium forecasting capabilities. Native Apps for Real-Time Analytics – Engineered Snowflake Native Apps, providing insurers with instant concentration risk insights, reducing exposure blind spots by 60%. Cloud, DevOps & Security – Implemented CI/CD pipelines, DevOps automation, and cloud security best practices across AWS & Azure, ensuring scalability, efficiency, and compliance. Recognized with multiple awards —for consistently delivering innovative data solutions that transform businesses. Beyond my passion for data engineering and analytics, I’m deeply fascinated by data science and AI, always exploring ways to integrate machine learning and automation into real-world business problems.

Stackforce AI infers this person is a Data Engineering expert in Fintech and SaaS industries.

Location: Berlin, Berlin, Germany

Experience: 4 yrs 10 mos