# Anurag N.

> Software Engineer @Engineersmind | Master’s in Computer Engineering | NYU Graduate

Location: Jersey City, New Jersey, United States
Profile: https://flows.cv/anuragn

Professional Summary:

I am a highly motivated and results-driven software engineer with 4+ years of proven experience in designing, building, and optimizing scalable data pipelines and delivering impactful data-driven solutions across the finance and healthcare sectors. I hold a Master's degree in Computer Engineering from New York University and have hands-on experience working with cloud technologies, ETL frameworks, AI/ML-driven document processing, and data visualization tools. I excel in translating complex data into actionable insights that drive business value, with a strong emphasis on automation, performance optimization, and governance.

Technical Expertise  

- Programming Languages: Python, Java, SQL, C++, VBA, JavaScript, HTML/CSS  
- Cloud Platforms:  
  - AWS: Lambda, API Gateway, S3, RDS, Step Functions, Cognito, AppFlow, QuickSight, Glue, Athena  
  - Azure: Functions, Queues, Data Lake Storage, Synapse Analytics, Azure Pipelines  
- Data Engineering & Pipelines: Apache Airflow, DBT, Flyway, AppFlow, Azure Data Pipelines  
- Data Warehousing: Snowflake, Synapse, PostgreSQL  
- Machine Learning & AI: AWS Bedrock, NLP for document classification and extraction  
- Visualization & Reporting: Tableau, Power BI, Amazon QuickSight (with RLS and Cognito)  
- Database Technologies: SQL, RDS, PostgreSQL  
- Healthcare Data Standards: EHR, EMR, HL7  
- Additional Skills: Object-Oriented Programming, Web Development, Agile Methodologies, Dash Boarding, CI/CD Automation

Core Strengths & Abilities

- Passionate problem solver with a strong foundation in computer science and systems design  
- Proven experience managing end-to-end pipelines with structured and unstructured data at scale  
- Strong communicator who bridges the gap between technical teams and business stakeholders  
- Dedicated team player with a proactive mindset and a drive for continuous learning  
- Adept at working independently and collaboratively in cross-functional teams  
- Known for delivering high-quality solutions under tight deadlines and evolving requirements

## Work Experience
### Software Engineer @ engineersmind
Jan 2023 – Present | Jersey City, NJ
End-to-End Financial Data Pipelines & AI Automation  
- Designed high-performance ETL systems processing 10M+ daily records from SFTP, APIs, and PDFs using Python/AWS AppFlow  
- Automated 70% of financial document processing with AWS Bedrock NLP, improving data accuracy by 60%  
- Reduced pipeline latency 30% by implementing Airflow with parallel Lambda workflows for Snowflake/RDS ingestion  
- Transformed raw financial data into analytics-ready models using DBT, increasing reporting reliability by 25%  

AI-Powered Document Intelligence  
- Developed ML classification system that reduced manual PDF sorting by 70% (prospectuses, contracts, statements)  
- Built automated Snowflake mapping pipelines that enabled dashboard integration within 1 day (vs 3 days manual)  

Data Governance & Stakeholder Analytics  
- Launched secure QuickSight dashboards with RLS/Cognito auth, cutting audit processing time by 35%  
- Created Tableau visualizations that influenced $500M+ investment decisions through improved risk visibility  

Cloud Infrastructure Optimization  
- Slashed Athena query costs 35% through partitioning strategies and Glue catalog optimizations  
- Automated database deployments with Flyway, reducing production incidents by 50%  
- Doubled data throughput by optimizing S3-Lambda-PostgreSQL pipelines with smart partitioning  

Leadership & Innovation  
- Mentored 3 junior engineers through code reviews and project delegation  
- Championed adoption of AI document processing across 5+ business units  
- Established data quality standards that reduced reporting errors by 40%

### Data Engineer Intern @ engineersmind
Jan 2023 – Jan 2023 | New Jersey, United States
•	Designed and developed data pipeline using Azure Functions to ingest medical data from Redox and EMR services into Data Lake container.
•	Utilized Azure Queue to listen for new data and trigger pipeline execution.
•	Cleaned and normalized raw data, flattening nested JSON files into tabular form using Python libraries such as pandas and NumPy.
•	Stored cleaned data in Data Lake or databases such as Azure SQL or Cosmos DB for further processing and visualization.
•	Designed and implemented an Azure data batch and CDC pipeline to ingest files from an SFTP location, perform ETL to clean and process the data, store it in a Data Lake, and visualize it in Power BI, resulting in a 20% reduction in response time.
•	Created an expedited data migration pipeline to transfer 50GB of data from an on-premises data warehouse to the cloud, simplifying cloud migration at scale.
•	Optimized real-time data pipelines for PostgreSQL, Oracle, MySQL, and MS SQL with 87% optimization.

### Business Technology Solutions Associate @ ZS
Jan 2019 – Jan 2021 | Pune Area, India
• Developed solutions and built data analytics models around a variety of sales and 
marketing problems of US-based pharmaceutical, biotech, and medical product clients.
• Supervised and managed the end-to-end responsibility and took overall ownership of 
the solution delivery of more than 10 projects across all phases from discovery, 
requirements gathering, design, implementation, testing & operations.
• Python Widgets: Developed and built python widgets and scheduler for automating the 
complete data cycle which increased the efficiency of the process by 10% for multiple 
clients.
• Web Scraper: Designed a web scraper to automate the process of traversing the opensource website to do specific tasks and download the data automatically
• Forecasting tool: Created a forecasting tool that lets the client select the features, that 
analyses the data and spits out different forecasts
• Collaborated in the agile development of project timelines, system flow diagrams, 
documentation, testing, and ongoing support of systems with expertise in the development 
of tech-enabled solutions in VBA, Python.
• Built sustainable relationships and trust with customer accounts using open and 
interactive communication.
• Assisted with new hire orientation and employee training.


## Education
### Master's degree in Computer Engineering
New York University

### BE - Bachelor of Engineering in Electronics and Communications Engineering
Maharashtra Institute of Technology


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

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Source: https://flows.cv/anuragn
JSON Resume: https://flows.cv/anuragn/resume.json
Last updated: 2026-04-05