What I Do

Services

Focused engagements that solve specific data problems — designed for speed of delivery without sacrificing long-term quality.

Data Pipeline Architecture

End-to-end design and implementation of batch and real-time data pipelines that scale with your business and won't become tomorrow's technical debt.

  • Pipeline architecture design & review
  • ETL/ELT implementation with dbt, Spark, or Glue
  • Stream processing with Kafka & Spark Streaming
  • Data quality frameworks & automated testing

Cloud Data Warehouse

Build or modernize your data warehouse on Snowflake, BigQuery, or Redshift — with performance, governance, and cost efficiency from day one.

  • Warehouse selection, sizing & cost modeling
  • Dimensional & OBT schema design
  • Migration from legacy on-premise systems
  • Semantic layer & metric store implementation

ML Data Infrastructure

Lay the data foundation your ML team needs: feature stores, training pipelines, and model serving infrastructure built for production reliability.

  • Feature store design & implementation (Feast, Tecton)
  • Training data pipeline engineering
  • Online/offline store architecture
  • Training-serving consistency audits

Analytics Engineering

Transform raw data into trusted, business-ready datasets using dbt, with full documentation, lineage, and automated testing your analysts can rely on.

  • dbt project setup, refactor & best practices
  • Data modeling (dimensional, one big table)
  • Automated data quality & freshness testing
  • BI tool integration & semantic layer

Data Strategy Advisory

Strategic guidance for data leaders: architecture reviews, technology selection, roadmap planning, and capability building for your team.

  • Architecture reviews & technical audits
  • Technology stack selection & evaluation
  • Data platform maturity assessments
  • Team workshops & knowledge transfer

Fractional Data Lead

Embedded data engineering leadership for startups and scale-ups building their first data platform — without the cost of a full-time hire.

  • Engineering team leadership & mentorship
  • Roadmap creation & sprint planning
  • Hiring support & technical interviews
  • Standards, processes & on-call runbooks
How It Works

My Engagement Process

01

Discovery Call

A 30-minute call to understand your current state, goals, and where I can add the most value.

02

Scoping & Proposal

A written proposal outlining scope, approach, timeline, and investment — no surprises.

03

Engagement

Focused, heads-down work with weekly check-ins and transparent progress tracking.

04

Handover & Support

Full documentation, knowledge transfer, and a 30-day support window post-delivery.

Ready to get started?

Let's discuss your data challenges and how I can help.

Schedule a Call