Mounika Naidu
Actively looking for Data Engineer roles | Azure & AWS Specialist | Big Data & ETL Expert | Building Scalable Data Pipelines for Real-Time Analytics
- Role
- Data Engineer at JPMorganChase
- Location
- Cleveland, OH, US
- LinkedIn followers
- 500 followers
About Mounika Naidu
Experienced in designing and optimizing scalable data solutions in both Azure and Hadoop…
Experience
Data Engineer
Nov 2024 — Present · OH, US
Built and orchestrated 15+ scalable ETL and data integration pipelines using Apache Airflow and Azure Data Factory, accelerating credit risk data processing and reducing reporting delays in regulatory filings.Designed a multi-region data lake using Azure Data Lake Storage Gen2, integrated with Snowflake and Azure Synapse Analytics, optimizing storage and enabling sub-second queries on high-volume trade and transaction datasets.Engineered a real-time fraud detection pipeline using Apache Kafka and Apache Flink, capable of processing 5M+ daily financial transactions, reducing fraud detection time from 2 days to under 2 hours.Optimized complex SQL workloads in PostgreSQL and Snowflake for high-frequency trade and P&L analysis, reducing query runtime through partitioning, indexing, and advanced optimization.Automated deployment pipelines using Terraform, Azure DevOps, and Docker, cutting CI/CD cycles from 2 weeks to 3 days while ensuring consistent infrastructure across dev and prod environments.Created interactive analytics dashboards using Python (Pandas, Matplotlib, Plotly) to monitor trade surveillance alerts and credit risk KPIs, enabling risk teams to act on anomalies 40% faster and improving regulatory reporting accuracy.
Education
Cleveland State University
Master's degree, Computer Science
Sreenidhi Institute of Science and Technology
Bachelor's degree, Computer Science
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