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Dinesh Dawonauth

Data Engineer

Data Engineer specializing in building scalable data pipelines, ETL workflows, and analytics infrastructure. Turning raw data into actionable insights.

Toronto, Canada
hireme@dineshd.dev
Works at: as Data Scientist
Alumnus of:
Expertise: Data Engineering, Python, SQL, Apache Spark, ETL Pipelines, Data Warehousing, Cloud Platforms, TypeScript, React, Next.js

Dinesh Dawonauth

Full-Stack Developer | AI & Data Engineer

Professional Summary

Software Engineer and Data Scientist with 5+ years of experience building scalable systems and data-driven applications. Strong background in full-stack development and AI orchestration, with a focus on translating complex business requirements into high-performance technical solutions. Proven impact in enterprise environments through automation, analytics, and applied machine learning.

Technical Skills

Languages
Python (Pandas, NumPy), TypeScript, JavaScript, SQL (PostgreSQL, MySQL), R, HTML, CSS
Frontend & UI
React, Next.js, Tailwind CSS, Framer Motion, Textual (TUI), Tableau, PowerBI
Backend & AI
Node.js, REST APIs, Supabase, Redis, LLM Integration (OpenAI, Anthropic), ETL Pipelines
Tools & Practices
Git, Docker, Linux, Excel (Advanced), Agile, Scrum

Featured Projects

Yield

  • Architected a generator-driven execution engine where each yield represents a real algorithm operation
  • Ensured visualizations stay perfectly synchronized with actual code logic
  • Implemented 20+ algorithms across six categories including sorting, pathfinding, graphs, and interview problems
  • Built learning pages with complexity analysis, interactive demos, and deep-linkable states

Holiday.EXE

  • Engineered a 60fps mobile-native experience using Capacitor and optimized rendering techniques
  • Built a complex state machine using Zustand to manage authentication flows, puzzles, and game logic
  • Designed a polished narrative-driven architecture with strict TypeScript safety

Debate Lab

  • Built a system to expose and compare AI reasoning through controlled debates
  • Orchestrated multi-agent flows with real-time streaming and structured moderation
  • Created a reusable benchmarking framework for evaluating LLM argumentation quality

PassFx

  • Implemented strong cryptographic primitives for local-only secret storage
  • Designed a premium TUI experience using Python’s Textual framework
  • Eliminated external attack vectors through a strict offline-first design

Professional Experience

SweetHearty

  • Built a habit tracking system with streaks, rewards, and progress visualization
  • Implemented full-stack logic to improve user engagement and consistency

Meridian Credit Union

  • Architected automated data pipelines and dashboards serving over 300K members
  • Reduced manual reporting time by 40 percent through workflow automation
  • Collaborated with engineering and stakeholders to translate business needs into scalable analytical solutions
  • Identified operational bottlenecks using trend analysis, improving efficiency by 25 percent

Slice Labs

  • Developed interactive dashboards using Tableau and SQL to support executive decision making
  • Implemented data validation scripts that improved data accuracy across the platform
  • Performed complex SQL analysis and query optimization to support operational teams
  • Worked on production machine learning systems integrated into live business workflows

Carleton University

  • Analyzed datasets with 30K+ records using SQL and Python
  • Supported institutional reporting and academic research initiatives
  • Assisted in translating raw data into actionable insights for faculty and staff