Isa Inalcik

IsaInalcik

Senior Technical Lead Engineer, Data Platform

I design and build lakehouse platforms that move data reliably at scale, and ship open source tools for the people who run them.

Portrait of Isa Inalcik
Now
Allianz Partners
Focus
Lakehouse, Trino, Iceberg, dbt
Based
Frankfurt Rhine-Main, Germany
From
Bolu, Türkiye
In data
Since 2011
A lakehouse data platform Data flows from Kafka, SQL Server, REST APIs and Oracle through dlt and Spark into Iceberg and Delta Lake tables, modelled with dbt, queried by Trino, Databricks, Snowflake and BigQuery, and served to Power BI, Looker, notebooks and AI solutions. SOURCES INGEST TABLES ENGINES SERVE dbt · bronze → gold Kafka SQL Server REST APIs Oracle dlt Spark Iceberg Delta Lake Trino Databricks Snowflake BigQuery Power BI Looker Notebooks AI solutions
The stack I build on. Sources to serving, one governed lakehouse. Point at any node to trace its path.Azure · Kubernetes · Airflow

What I bring

Platform architecture across the major engines, AI that works on real company data, and delivery pipelines that make both safe to change.

Data platforms

Lakehouse and warehouse architecture, migrations off legacy systems, governance built in from day one.

  • Databricks
  • Trino · Starburst
  • Snowflake
  • BigQuery
  • Apache Iceberg
  • Delta Lake
  • Spark
  • dbt
  • Power BI
  • Looker

AI solutions

LLMs connected to governed data: AI functions in SQL, MCP servers for agents, and agentic frameworks that speed up migrations.

  • LLM functions in Trino
  • MCP servers
  • Agentic migration
  • Claude Code tooling
  • Agents & skills

DevOps & CI/CD

Everything as code and tested before it ships: PR-scoped environments, slim builds, autoscaling clusters and repeatable releases to Kubernetes.

  • Kubernetes
  • Helm
  • KEDA
  • Docker
  • GitHub Actions
  • GitLab CI
  • Azure DevOps
  • dbt Slim CI
  • OpenTelemetry
  • Open Policy Agent

What I’ve built

A selection from platform work at Allianz Partners and BestSecret.

  • Data platforms from scratch

    New company data platforms, on Databricks and on Starburst/Trino with Apache Iceberg.

    Allianz Partners · BestSecret
    More

    BestSecret: a Trino/Starburst and Apache Iceberg lakehouse on Azure, the migration off legacy platforms, ETL on dbt and Airflow, and Trino clusters autoscaled with KEDA on Kubernetes (write-up).

    Allianz Partners: a Databricks lakehouse with dltHub ingestion and dbt transformation, plus agentic tooling to speed up the Oracle to Databricks migration.

  • Governed data exports

    A Databricks App that lets teams create controlled data exports instead of ad hoc extracts.

    Allianz Partners
    More

    Teams need data outside the platform. Instead of one-off extracts, exports are created through an app that runs inside Databricks, so every export takes one controlled path.

  • Access permission concepts

    Role and policy based access models for Starburst and Databricks.

    Allianz Partners · BestSecret
    More

    Role and policy based access models for Starburst and Databricks. Related writing: Trino with Open Policy Agent and OpenTelemetry.

  • dbt Slim CI

    Pull request builds that run and test only the models that changed.

    dbt · Databricks
    More

    Pull request runs compare against the production manifest and build only modified models and what depends on them (state:modified+), so CI stays fast as the project grows. Write-up: dbt Core and Slim CI on Databricks. Related open source: dbt-hodor.

  • dltHub ingestion framework

    A reusable ingestion framework on dlt for bringing new sources into the lakehouse.

    Allianz Partners
    More

    Ingestion on dlt (dltHub) that brings sources into the Databricks lakehouse at Allianz Partners, with dbt handling transformation downstream.

  • AI functions for Trino

    A Trino/Starburst plugin that exposes LLM calls as SQL functions, shown on Trino Community Broadcast 60.

    Open source · trino-ai
    More

    LLM calls exposed as SQL functions in Trino/Starburst, so models can be used from plain SQL. Code: trino-ai. Demo: Trino with Llama 3 on LinkedIn and Trino Community Broadcast 60.

Upstream

Merged contributions to the projects my platforms run on: 9 pull requests across 6 projects.

PROJECTCHANGEPULL REQUEST
Trino GatewayJMX monitor type for cluster health checks#472 #611
Trino GatewayCommon labels for the Helm chart, UI API docs#448 #471
PyIcebergFix config loading on Windows#7002
TrinoHive connector documentation#22093
Trino ChartsConsistent secret naming#323
MarquezCommon labels on ReplicaSets#2877
CloudBeaverTrino driver upgrade#2372

Career

Fifteen years in data, from warehouse testing in regulated industries to running lakehouse platforms.

  1. 2025 – now

    Senior Technical Lead Engineer

    Allianz Partners

    Databricks lakehouse architecture, ingestion and transformation frameworks with dltHub and dbt, agentic tooling to speed up the Oracle to Databricks migration.

  2. 2022 – 2025

    Data Engineer → Principal Data Engineer

    BestSecret Group

    Designed a Trino/Starburst and Apache Iceberg lakehouse on Azure, led the migration off legacy platforms, streamlined ETL with dbt and Airflow.

  3. 2018 – 2022

    Test Automation → Big Data Engineer

    Commerzbank

    Scalable big data solutions with Spark, Kafka and Google Cloud.

  4. 2013 – 2017

    Senior Test Engineering Analyst

    Accenture DACH

    Test automation and data validation for large data warehouse programmes at UBS, Roche, Lufthansa, Aldi Süd and RWE.

  5. 2011 – 2013

    Analyst

    Kraftfahrt-Bundesamt

Microsoft Certified: Azure Data EngineerStarburst Certified PractitionerFH AachenMissouri State University

Off the clock. From Bolu, Türkiye, where my favourite place is the house at Gölcük lake. I ride a Voge DS900X, on tours as far as the passes of the Italian Dolomites.

Into data platforms too? Say hello.