I architect
full-stack
enterprise systems.
I build end-to-end applications and scalable data pipelines — connecting modern frontends like Next.js and React with robust, event-driven backends across C# .NET, Kafka, and Snowflake.
What I do.
I'm a Software Engineer specializing in backend systems, data pipeline architecture, and third-party API integrations. My day-to-day involves owning core marketing attribution platforms — the systems that decide how every marketing dollar is attributed — alongside building real-time event-driven architectures on Kafka, designing data ingestion workflows in Airflow, and integrating with ad-tech partners like Meta, Google Ads, and a growing list of programmatic platforms.
I am a builder at heart, operating comfortably across the entire stack. Whether it's architecting high-throughput integration pipelines, provisioning AWS infrastructure and secure IAM roles from scratch, or wiring robust event-driven backends to sleek Next.js frontends—I own the end-to-end engineering lifecycle. I thrive on turning complex architectural challenges into scalable, production-ready platforms.
Architecture
Systems
Applications
Engineering
Work Experience.
Software Engineer
- Architected a real-time call tracking integration — REST webhook endpoints in C#/.NET receiving call events, publishing to Kafka, and persisting enriched attribution data into Snowflake for near real-time marketing analytics.
- Built an automated campaign synchronization service against partner REST APIs, creating and maintaining campaign-to-phone-number mappings via tracking IDs — eliminating a manual process that previously blocked partner launches.
- Designed event-driven Kafka messaging pipelines for Admin Audit Logs, Attribution Configuration changes, and A/B Testing events, enabling downstream analytics and operational auditing in Snowflake.
- Own the core attribution API end-to-end: domain-level traffic blocking, AI/LLM referrer classification (ChatGPT, Perplexity, Gemini), cross-domain tracking cookie resolution, and CORS management across 10+ partner domains.
- Led discovery and backend implementation for OpenAI, LinkedIn, Amazon DSP, Reddit, and various programmatic native ad integrations — building REST API clients, OAuth2 flows, and Airflow DAGs for cost data ingestion.
- Primary backend engineer for a first-party data passback platform — built model search, filtering infrastructure, reporting APIs, alerting backend, and SFTP delivery via AWS Secrets Manager, roughly tripling the platform's delivery-channel coverage.
Junior Software Engineer
- Led the migration of a legacy data integration platform from a .NET monolith to modular Python Airflow pipelines — migrating 8+ data pipelines across major ad networks including Insights, Intraday Ad Grain, Campaign, and Keyword flows.
- Built Airflow DAGs extracting advertising cost data through REST APIs, landing raw datasets in AWS S3, and loading transformed data into Snowflake via Snowpipe — coordinating cutover from legacy scheduled jobs to new infrastructure.
- Provisioned cloud infrastructure across Dev, QA, Staging, and Production using Terraform — S3 buckets, folder prefixes, IAM roles, and Snowpipe configurations.
- Built the data passback reporting platform from the ground up — discrepancy reporting, proactive Slack alerting, and operational dashboards that reduced investigation time for production issues.
- Resolved 5 production incidents including 2 Blocker-priority: cross-domain tracking cookie failures breaking marketing attribution, CORS errors on partner domains, data pipeline 502 errors causing data loss, and tracking URL generation failures.
- Eliminated an entire class of data integrity issues by implementing input validation across partner names, lines of business, channels, and identity names — preventing downstream reporting errors across the attribution pipeline.
Software Engineering Intern
- Migrated 6+ production microservices and internal applications from legacy .NET Framework/.NET Core to .NET 8/9 — resolving framework compatibility issues, deprecated API calls, and package dependency conflicts during modernization.
- Integrated with major advertising partners through REST APIs — transforming JSON responses into Parquet format and uploading to AWS S3 for scalable cloud storage and downstream analytics.
What I own.
Attribution API
The system that decides how every marketing dollar is attributed. I own the API end-to-end: domain blocking, AI/LLM referrer classification, cross-domain tracking, CORS configuration for partner domains, and the admin UI that Marketing Ops uses daily. When attribution breaks, I'm the one fixing it.
First-Party Data Sync
Enterprise platform for syncing first-party Snowflake data back to Google Ads, Meta, and other ad networks. I built the model search, filtering, reporting APIs, alerting backend, and SFTP delivery — tripling delivery-channel coverage and enabling marketing teams to build stronger audience segments from real conversion data.
Infrastructure Overhaul
Led the migration of 8+ data pipelines from a legacy .NET monolith to modular Python Airflow DAGs across major ad networks. Provisioned new S3 infra via Terraform, managed Snowpipe cutover, and coordinated the shutdown of legacy scheduled jobs — a true full-stack effort from infrastructure to application layer.
Call Tracking System
First real-time call tracking integration for the enterprise. I designed the end-to-end architecture: REST webhook endpoints receiving call events, Kafka pub/sub for asynchronous processing, campaign sync automation via tracking ID mappings, and a Snowflake data model for call tracking analytics.
After hours.
Algorithmic Stock Scanner
Automated screening system scanning the Nifty 500 universe daily. 10-dimension composite scoring (MACD, RSI, VWAP, Bollinger Squeeze, ATR) with regime-adaptive execution logic and trailing stops. Backtested across 1 year of data — 80%+ win rate with positive profit factor.
Real-Time Chat Application
Real-time messaging platform with Entity Framework + Identity for auth, SignalR for WebSocket communication, and Cloudinary for media storage. Containerized with Docker, deployed on Fly.io with PostgreSQL in production.
What I work with.
Languages & Frameworks
Cloud & Data
Architecture & Integration
Partner APIs
AI Tools & Assistants
Achievements.
Elite Medal — IIT Madras
Data Structures and Algorithms using Python — NPTEL certification with Elite distinction.
GATE 2023 Qualified
Graduate Aptitude Test in Engineering — national-level competitive examination for Computer Science.
Elite Medal — IIT Kharagpur
Introduction to Internet of Things — NPTEL certification with Elite distinction.
Subject Matter Expert — Course Hero
Helped 600+ students with Computer Science coursework as a verified subject matter expert.