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AbhishekChamp/README.md

Abhishek R | Senior Software Engineer

Data Pipelines • Full Stack Architecture • Workflow Orchestration

LinkedIn Portfolio

🚀 Open to: Senior Data Engineer roles | Full Stack Opportunities | Freelance Projects
📍 Remote Preferred | ⏱️ Available Immediately


🎯 What I Specialize In

High-Throughput Data Systems — Architecting pipelines processing 50k+ events/sec with sub-100ms latency
Workflow Orchestration — Visual workflow builders (React Flow) integrated with execution engines (Knock, Celery)
Full-Stack Analytics Platforms — ETL monitoring, SLA tracking, real-time dashboards (React + FastAPI)
DevOps & Infrastructure — Docker containerization, Jenkins CI/CD, AWS deployment, KeyCloak SSO
Performance Optimization — Consistently delivering 70-90% efficiency gains in data retrieval and processing


📊 Professional Impact

  • 90% Faster — Migrated legacy systems to Elasticsearch (30 days → 3 days retrieval time)
  • 80% Memory Reduction — Built streaming CSV processors with Celery/RabbitMQ replacing sync loading
  • 70% Throughput Increase — Rebuilt core API with FastAPI/async SQLAlchemy handling ML predictions at scale
  • 85%+ Test Coverage — Established pytest/vitest standards across CRM and PZN platforms

🚀 Featured Projects

Enterprise Analytics Dashboard

Tech: React 19 • TypeScript • TanStack Router • Zustand • Recharts
Impact: Production-grade data engineering platform simulating ETL pipelines, SLA tracking, data lineage visualization, and cost analytics with real-time simulation engine.

PyPI Intelligence

Tech: React • TypeScript • TanStack Query • Vite
Impact: Production-readiness dashboard with health scoring, vulnerability scanning (OSV), SBOM generator. 40% bundle reduction via strategic code splitting and intelligent caching.

npm Insight

Tech: React • TypeScript • TanStack Query • Recharts
Impact: Package analytics tool featuring debounced search, health scoring, and multi-manager install commands with smart caching strategies.


🛠️ Tech Stack

Core Engineering Python TypeScript FastAPI Django React

Data Engineering Apache Airflow Elasticsearch PostgreSQL Pandas Polars Redis

DevOps & Cloud AWS Docker Jenkins KeyCloak RabbitMQ Celery

Frontend & UI TanStack Query TailwindCSS shadcn/ui React Flow

Development Tools Git Pytest Vite


💼 Professional Background

6+ years building data-intensive platforms combining Python backend architecture with modern React frontends. Expert in translating complex business requirements into production-grade systems that handle real-world scale and failure modes.

Recent focus: CRM & PZN Platforms — Query builders with streaming processing, visual workflow orchestration, and enterprise SSO implementation.


🤝 Let's Connect

Hiring managers: I'm currently exploring Senior Data Engineer and Full Stack opportunities.
Founders: Open to freelance collaborations on data platforms, analytics dashboards, and workflow automation tools.

💼 LinkedIn ProfileBest way to reach me for opportunities

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  1. pypi-intelligence pypi-intelligence Public

    A production-readiness and install-risk dashboard for Python packages from PyPI. Make informed decisions before adding dependencies to your projects.

    TypeScript

  2. enterprise-analytics-dashboard enterprise-analytics-dashboard Public

    Frontend-only enterprise analytics platform simulating real-world data engineering systems — pipelines, SLA tracking, observability, lineage, cost analytics & role-based access.

    TypeScript 1

  3. document-intelligence-platform document-intelligence-platform Public

    Privacy-first document intelligence platform that analyzes PDFs, images, and text files for spelling, grammar, readability, and compliance — built with React + TypeScript.

    TypeScript

  4. npm-insight npm-insight Public

    A modern, frontend-only developer tool for exploring npm package metadata, versions, and installation commands. Built with React, TypeScript, and Tailwind CSS.

    TypeScript

  5. Omnifood-Clone Omnifood-Clone Public

    Created a website using HTML, CSS and JS with the guidance of Jonas via udemy.

    HTML