Ufuk Ceyhanli

Ufuk Ceyhanli

Engineering Manager, Data

Building data teams @ Mews

I build data platforms and lead the teams behind them, turning messy pipelines into products people trust enough to make decisions on. Years as a hands-on analyst first, so I still care about the SQL, the models and the boring SLAs that make data trustworthy.

// at a glance
  • Engineering Manager leading data teams at Mews
  • Hands-on analytics background (SQL, dbt, Python)
  • Focus on data people can actually decide on
// what i do
  • Data platform & reliability
  • Analytics engineering
  • Metrics & decision support
  • Hiring & mentoring
  • Team rituals that scale
// stack
SQLdbtPyDMBI
// experience
  • MewsEngineering Manager, DataPresent

    Leading the data teams behind a hospitality platform: batch and streaming pipelines, lineage, metrics, and the hiring and rituals that let engineers do their best work.

// focus

Data teams that ship products people trust.

Platform, modeling, metrics and the team behind them. Decisions over dashboards, not vanity charts.

Data platform

Batch and streaming systems, lineage, snapshots and the reliability work that makes data trustworthy. Modular models, single sources of truth, and errors that fail loudly instead of silently.

Teams & decisions

Hiring, mentoring and the rituals that let engineers do their best work. Modeling and metrics that answer real questions, with the denominator and the time window stated.

// contact

Talking data? Let's talk.

Open to conversations about data platforms, analytics engineering and building data teams.

// writing

Writing

Notes on data platforms, analytics engineering and running data teams. Plain, numbers first, with the caveats attached.

// topics in the queue
  • Daily snapshots vs Type 2 dimensions
  • Modularity in dbt projects
  • Measuring feature adoption with usage footprints
  • Building rituals for a growing data team

The first articles are on the way. Until then, the conversation happens on LinkedIn.

// contact

Talking data? Let's talk.

Open to conversations about data platforms, analytics engineering and building data teams.