"Rebuilding the Roman empire, pipeline by pipeline."
I'm a Lead Data Analyst and Data Engineer. With a background in Actuarial Science and Finance, I bring a uniquely quantitative lens to data — blending statistical rigour with engineering depth.
I work across the full data stack: from designing ETL pipelines that process 10M+ records monthly, to building real-time dashboards, to integrating LLMs and RAG pipelines into production reporting workflows.
- 🏗️ Lead Data Analyst & Data Engineer — dual-hatted across analytics and engineering
- ⚙️ Building scalable pipelines with Airflow, dbt, Kafka, Spark & Docker
- 🤖 Deploying LLMs in production — RAG, LangChain, Google MedGemma, Ollama
- ☁️ Cloud-native on GCP (BigQuery, Cloud SQL, Cloud Storage) and Databricks
- 📐 Background in Actuarial Science & Finance — strong quantitative foundation
- 📬 martin@martinkilombe.dev
| Project | What It Does | Highlights | Stack |
|---|---|---|---|
| 💹 Financial Data Pipeline | Production-grade stock market ingestion system with dual-source data fusion (Polygon.io + Yahoo Finance) | 50K+ daily data points · sub-minute latency · 99.9% uptime · NYSE-aware scheduling · JSONB metadata · Alembic migrations | Python 3.12, PostgreSQL, SQLAlchemy 2.0, Loguru, Alembic, GCP Cloud SQL |
| Project | What It Does | Highlights | Stack |
|---|---|---|---|
| 📺 Netflix Viewership Dashboard | Interactive global viewership analysis with content trend breakdowns | Published to Tableau Public · drill-down filters | Tableau, SQL |
| 💼 UK Job Market Analysis | Labour market demographics study covering 2011–2014 workforce distribution | Regional & demographic segmentation | Tableau, SQL |
| 📈 Yahoo Finance Stock Analysis | 12-month OHLC analysis of FAANG + Microsoft — moving averages, volatility, and correlation | MA10/MA20 crossover signals · ATR volatility · correlation heatmaps | Python, Pandas, yfinance, Matplotlib |
| 🏦 Consumer Complaints Analysis | Full SQL data cleaning and analytics on 100K+ CFPB financial complaints dataset | Schema alteration · advanced window functions · data quality checks | PostgreSQL, SQL |
| 📊 Forbes Global 2022 Analysis | Cleaning and analytical deep-dive on Forbes Global 2000 company rankings | Revenue/profit segmentation · sector analysis | SQL, PostgreSQL |
| 📉 Metabase Dashboards | Self-serve BI dashboards designed for non-technical business stakeholders | Embedded analytics · custom metrics | Metabase, SQL |
| Project | What It Does | Highlights | Stack |
|---|---|---|---|
| 🏦 Loan Predictor ML App | End-to-end ML web app predicting loan eligibility — fully containerised and deployable | Random Forest · 80%+ accuracy · Django web UI · Dockerised with docker-compose · PostgreSQL backend | Python, Scikit-learn, Django, Docker, PostgreSQL |
Analytics & Visualisation
Data Engineering & Pipelines
Cloud & Databases
AI & Emerging Tech
Open to data engineering roles, freelance collaborations, and interesting data problems.
Let's connect and build something meaningful with data.
