Mounika Bhargavi Chintalapati
Lead Data Engineer @N2g Worldwide Insurance Services, Llc
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WORK HISTORY
Lead Data Engineer @N2g Worldwide Insurance Services, Llc
NJ, US
Devised cost-effective strategies and optimization techniques for seamless migration to Data Lake, enhancing data processing efficiency and minimizing expenditure by 90%, with a focus on maximizing ROI and operational effectiveness• Orchestrated the setup and configuration of Azure services, demonstrating expertise in cloud infrastructure management. Ensured seamless integration, laying a robust foundation for scalable and reliable operations• Spearheaded the automation of data extraction processes, optimizing existing dashboards with innovative technological solutions. Streamlined operations and reduced manual workload by 70%, enhancing productivity across departments
EDUCATION
Raghu institute of technology
Bachelor of Engineering (B.E.), Mechanical Engineering
Northeastern University
Master's degree, Analytics
Sri chaitanya junior college
Intermediate, Maths,Physics and chemistry
ABOUT MOUNIKA BHARGAVI CHINTALAPATI
I am a self-driven and results-oriented Lead Data Engineer with deep expertise in cloud data platforms, data lakes, ETL/ELT architecture, and end-to-end data solutions. I have extensive experience across Insurance, Finance, Gaming, and Telecom, and I specialize in designing scalable, reliable, and high-impact data systems that empower business teams with faster and more accurate insights.In my role at N2G, I lead key data engineering initiatives on Azure, including ADLS Gen2, ADF, Databricks, and enterprise data governance. I focus on building modern data architectures, streamlining data ingestion pipelines, and enabling cross-functional teams to effectively leverage cloud-based analytics. I enjoy working closely with underwriters, actuaries, and business leaders to improve data quality, lineage, and operational efficiency.My previous experience spans State Street, Cognizant, Accenture, and Ivy Comptech, where I developed and maintained ETL pipelines, optimized SQL workloads, built data models, automated processes, and created dashboards that supported strategic decisions. These experiences strengthened my foundation in data engineering, performance tuning, and BI analytics across both cloud and on-prem environments.I’m passionate about solving complex data challenges, modernizing data platforms, and creating clean, efficient solutions that make data more accessible and actionable. I thrive in environments where I can innovate, collaborate, and contribute to building future-ready data ecosystems.Core Skills:• Cloud: Azure (ADLS Gen2, ADF, Databricks), AWS, Snowflake• Data Engineering: ETL/ELT, Data Lake Architecture, Apache Spark, SQL optimization• Programming: Python (Numpy, Pandas, Scikit-learn, Matplotlib, Plotly, Seaborn), R, SQL• Visualization: Power BI, Tableau• Tools: Git, Jenkins, JIRA, Confluence• Advanced Analytics: Statistical Modeling, Predictive Analytics, EDA
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