# Nerissa Pereira

> Data Engineering at Aviz Networks | Agentic  AI, ETL Design, Cloud Analytics

Location: San Jose, California, United States
Profile: https://flows.cv/nerissa

## Work Experience
### Software Engineer - Data Platform @ Aviz Networks
Jan 2025 – Present | San Jose, California, United States

### Graduate Teaching Assistant @ Santa Clara University
Jan 2025 – Jan 2025 | Santa Clara, California, United States
CSEN 283: Operating Systems

### Graduate Teaching Assistant @ Santa Clara University
Jan 2025 – Jan 2025 | Santa Clara, California, United States
CSEN 266: Artificial Intelligence

### Graduate Teaching Assistant @ Santa Clara University
Jan 2024 – Jan 2024 | Santa Clara, California, United States
CSEN 279: Design and Analysis of Algorithms

### Data Engineer @ DTEX Systems
Jan 2024 – Jan 2024 | San Francisco Bay Area
•	Built a scalable pipeline for the DTEX Analytics Server using OpenTelemetry Collectors and Data Prepper to route metrics into OpenSearch, boosting data visibility by 30% for User Behavior Analytics (UBA) and User Activity Monitoring (UAM).
•	Enhanced anomaly detection in the DTEX Intercept platform by refining data normalization, feature engineering, and embedding generation, raising accuracy for Insider Risk Management (IRM) use cases.
•	Developed advanced clustering algorithms for user activity data, improving clustering accuracy by 25% and strengthening Data Loss Prevention (DLP) scenarios through optimized similarity measures.
•	Analyzing OpenTelemetry performance metrics and conducting tests to identify bottlenecks, optimizing real-time IRM pipelines in collaboration with the data science team.

### Data Engineer @ LTIMindtree
Jan 2020 – Jan 2023 | Mumbai, Maharashtra, India
Constructed ETL pipelines, optimizing TM1 TurboIntegrator scripts for data ingestion from Teradata, Hadoop, and CSV files, incorporating data modelling techniques to enhance structure, resulting in a 45% increase in overall efficiency.
• Applied statistical modeling techniques within a cross-functional team environment to develop a Machine Learning model for customer retention forecasting, achieving an accuracy rate of 84%, contributing to budgeting and forecasting activities.
• Automated TurboIntegrator processes, saving nearly 15 hours per week in updating transaction logs, enhancing data analytics workflow
• Developed Reactjs microservices for claims analysis dashboard, utilizing D3.js for interactive data visualization in charts, leading to a
15% increase in risk assessment accuracy.
• Led a team of 4 developers in creating a solution for managing KPIs, resulting in improved system performance by 23-28%.
• Recognized with the “INSpire Above and Beyond” award for impactful contributions to the project and team performance in Q4 2021.

### Software Engineer @ Lauren
Jan 2018 – Jan 2018 | Mumbai Area, India
•	Built and optimized data pipelines using Apache Airflow for scheduling and orchestration, automating the ingestion, transformation, and integration of large datasets from various sources.
•	Migrated data infrastructure to AWS (EC2, RDS, S3) and implemented Amazon Redshift for scalable data warehousing, reducing costs by 20% and improving query performance.
•	Designed and implemented efficient data models and schemas in MongoDB and Snowflake, enabling access for analytics and reporting.


## Education
### Master of Science - MS in Computer Science
Santa Clara University

### Bachelor of Engineering - BE in Computer Engineering
University of Mumbai


## Contact & Social
- LinkedIn: https://linkedin.com/in/nerissa-pereira

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Source: https://flows.cv/nerissa
JSON Resume: https://flows.cv/nerissa/resume.json
Last updated: 2026-04-10