Expertise
A balanced profile across engineering, platform architecture, governance, and hands-on technical leadership.
How I add value
I focus on building data platforms that remain reliable over time: operable, governed, and scalable — without turning them into overly complex systems.
My work spans batch and real-time pipelines, lakehouse architectures, orchestration, modeling, and the platform capabilities that make data trustworthy.
Data Engineering
What
- Batch and streaming pipelines that reliably deliver data from ingestion to consumption.
- Practical modeling approaches that make analytics consistent and understandable.
- Data transformations designed for maintainability and evolution.
How
- Prefer clear contracts between layers and predictable processing patterns.
- Design with operability in mind: retries, idempotency, and safe backfills.
- Use incremental processing where it reduces cost and increases speed.
Tools / Focus
Focused on Data Engineering excellence.
Cloud & Platform (AWS)
What
- Cloud-native architectures for lakehouse and analytics workloads.
- Event-driven orchestration patterns for complex workflows.
- Infrastructure automation to keep platforms stable and reproducible.
How
- Choose managed/serverless services when they reduce operational overhead.
- Use infrastructure as code and CI/CD to reduce risk and manual drift.
- Optimize cost and performance with a platform mindset.
Tools / Focus
Focused on Cloud & Platform (AWS) excellence.
Governance & Quality
What
- Governance foundations that make data trustworthy and auditable.
- Data quality checks as part of normal platform operation.
- Metadata practices that help teams discover and understand datasets.
How
- Treat governance as a product: simple interfaces and consistent rules.
- Prefer prevention over firefighting: validation early in the pipeline.
- Make quality visible through observability and clear ownership.
Tools / Focus
Focused on Governance & Quality excellence.
Leadership
What
- Architectural ownership and long-term platform strategy.
- Pragmatic decisions that balance speed, reliability, and maintainability.
- Hands-on leadership: aligning teams while staying close to delivery.
How
- Use principles and standards to keep platform evolution consistent.
- Document decisions and reduce ambiguity with clear technical direction.
- Mentor engineers through real delivery and operational feedback loops.
Tools / Focus
Focused on Leadership excellence.
A note on depth
I avoid technology lists that look impressive but lack meaning. I prefer showing how I think, how I decide, and how I build platforms that stay reliable under pressure.
If you want a profile that combines platform strategy with hands-on execution, we should talk.