Data and Analytics Engineer | Data Engineer | Building production data pipelines and AI-powered analytics
At Living Spaces, I run 30+ automated workflows, build BigQuery data models, and integrate cross-platform analytics (Adobe Analytics, Placer.ai) into leadership-level insights across 40+ retail locations.
Open to Analytics Engineer, Senior Data Analyst, Data Engineer, and AI/Automation Engineer roles.
| Domain | Tools |
|---|---|
| Data Engineering | BigQuery, dbt, Airflow, Airbyte, Cloud Data Fusion, PostgreSQL, Alteryx |
| Cloud | GCP (BigQuery, GCS, Cloud Data Fusion, Cloud Composer) |
| Languages | Python, SQL, JavaScript/React |
| BI & Analytics | Adobe Analytics, Placer.ai, Tableau |
| AI / LLM | Claude API, OpenAI API, Gemini, Ollama, DeepSeek, LangChain, CrewAI |
| Automation | Playwright, Scrapling, FFmpeg, MoviePy |
| Project | What It Does | Stack |
|---|---|---|
| gcp-secure-employee-pipeline | Production GCP pipeline with PII protection (salary masking, SHA-256 hashing), daily Airflow orchestration, and Tableau dashboards | Python, GCS, Cloud Data Fusion, BigQuery, Airflow, Tableau |
| crypto-etl-pipeline | End-to-end ETL extracting live crypto data from CoinGecko, transforming with pandas, loading into PostgreSQL with Airflow scheduling | Python, PostgreSQL, Airflow, pandas |
| bigstar-data-pipeline | End-to-end ELT pipeline: Postgres → Airbyte → BigQuery → dbt with full data modeling layer | Postgres, Airbyte, BigQuery, dbt |
| second-brain-ai | Always-on AI agent that reads articles, videos, and tweets into a self-organizing Obsidian wiki you query in plain English — runs 24/7 on a VPS for ~$8–15/mo | Python, Hermes Agent, DeepSeek, Obsidian |
| marketing-intelligence-agent | Web-based AI analyst answering natural-language questions about campaigns, stores, and demographics — grounded in data, never invents numbers | Node.js, Express, Claude API |
| yt-researcher | Python CLI that fetches YouTube transcripts as clean Markdown/JSON. Zero API keys, one dependency | Python, argparse |
Also built: baagchal — a browser PWA of the traditional Nepali strategy board game (play it live).
- Analytics Engineering — build and maintain BigQuery data models and Alteryx workflows powering cross-functional dashboards
- Data Analysis — surface insights from Adobe Analytics, Placer.ai foot-traffic data, and campaign spend for leadership decisions
- Pipeline Automation — manage 30+ automated data pipelines processing daily feeds across retail operations
- AI Proof-of-Concept — building a Claude-powered analytics tool that surfaces declining-market insights for leadership
Beyond open-source, I run several private projects: an algorithmic trading bot (EMA-cloud strategy, paper trading via Alpaca), a multi-agent AI orchestration system (research + content + analysis agents), and AI content pipelines that have published 25+ automated videos. Happy to walk through any of them.