Services

What I can help with

Data Platform Design & Implementation Greenfield buildouts or significant rebuilds of data platforms on Microsoft Fabric, Databricks or Azure Synapse. This includes defining the architecture (medallion layers, workspace organization, naming standards), setting up ingestion patterns, data quality and monitoring frameworks, and structuring the environment for long-term sustainability. I’ve done this from scratch for a LATAM organization every decision documented, every standard enforced from day one.

Pipeline Engineering & Optimization Design, implementation and optimization of ingestion and transformation pipelines in PySpark, Azure Data Factory and Microsoft Fabric. If your pipelines are slow, unreliable or expensive, I can diagnose and fix them. I’ve reduced pipeline execution time from 14 hours to 6, cut a financial forecasting job from 6 hours to 40 minutes, and redesigned pipelines that were reading the same base table 12 times down to 3.

Data Quality & Governance Building data quality monitoring that actually works in practice: proactive alerting, test log tables, business rule validation, and ownership mapping. I’ve also led data lake governance initiatives auditing datasets, identifying dead weight, coordinating controlled cleanup, and improving pathing and naming adherence.

Technical Leadership & Consulting Hands-on technical leadership for data teams: architecture reviews, code reviews, governance standards definition, onboarding of contractors or new engineers, and cross-team coordination. I’ve supervised distributed teams, managed consultancy deliveries, and acted as the technical reference point between regional and global stakeholders.

Microsoft Fabric Adoption Specific support for teams adopting Microsoft Fabric: workspace setup, lakehouse architecture, capacity management, migration from Synapse or ADF-heavy environments, and best practices for PySpark in Fabric notebooks. I hold the Microsoft Fabric Analytics Engineer Associate certification.