- 🧊 Open Data Lakehouse: Architecting native Google Cloud Lakehouses migrating from Databricks DLT to Apache Iceberg, Apache Spark (Dataproc Serverless), Biglake Metastore Iceberg Catalog, and BigQuery.
- ⚙️ Reactive Orchestration: Designing event-driven, asset-driven data pipelines using Airflow 3 on GKE Autopilot, managing 800+ dynamic pipelines for 500+ users.
- 🤖 Agentic Data Engineering: Building and integrating local AI agent environments using Model Context Protocol (MCP), plugins, connectors, and custom agent skills to automate SQLX/Dataform, testing, and Git workflows.
- 🛡️ IaC & Data Governance: Provisioning multi-project cloud topologies (Hub, Dev, Prod, Gov) via Terraform and implementing metadata-driven Data quality profiling & business-glossary-as-code.
- 🏢 Senior Data Engineer at Logical Position
- ⚡️ Daily stack:
.py,.sqlx(Dataform),.tf,.sh,.go,.json,.yaml - 🌍 Active contributor within the Python & Modern Data Stack communities
- 🌱 Learning all about Agentic Orchestration, OpenTelemetry (OTel) tracing for pipeline observability, and Iceberg catalog maintenance at scale.
- 💬 Ping me about data lakehouses, Apache Iceberg, Airflow 3, AI Agents & MCP, and cloud automation.
- 📫 Reach me: twitter.com/litanpdx




