Anurag N.

About Anurag N.

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 AutomationCore 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

Experience

1. Software Engineer

   engineersmind

   Jun 2023 — Present · Jersey City, NJ, US

   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%

Education

• Maharashtra Institute of Technology

  BE - Bachelor of Engineering, Electronics and Communications Engineering

  2015 — 2019

• New York University

  Master's degree, Computer Engineering