Senior Data Engineer

Daniel Ofek

I love deep work on databases and storage, pipeline efficiency, and the scaling problems that show up when data systems have to stay fast, correct, and affordable.

Focus

Where the craft lives

Data engineering is systems work: choose the right storage shape, keep pipelines lean, and design for growth before the pager goes off.

Tech stack

Let’s talk about data engineering tech

The layers I work across — from ingestion and storage up through compute, governance, and the infra that keeps it running.

Analytics & Visualization

  • Mixpanel
  • Tableau
  • Apache Superset

Compute

  • Apache Spark
  • Trino
  • DuckDB
  • Delta-rs
  • Amazon Athena

Governance & Orchestration

  • Apache Airflow
  • Unity Catalog
  • AWS Glue Catalog
  • Apache Hive

Ingestion & Storage

  • Amazon Kinesis
  • Vector
  • Apache Parquet
  • Delta Lake
  • Amazon S3

Infra

  • Amazon EMR
  • Terraform
  • AWS ECS
  • Databricks
  • Nushell

Professional work

Building data platforms that hold under load

Senior Data Engineer at Bob (HiBob), focused on the infrastructure that turns product events and operational data into reliable, queryable systems.

What I optimize for

  • Correct storage layouts and formats before more compute
  • Idempotent, observable pipelines over fragile one-offs
  • Cost and latency as first-class design inputs
  • Clear interfaces between producers, platforms, and consumers

How I like to work

  • Trace a slow query or failing job back to the storage shape
  • Prefer boring, durable patterns when the data path is critical
  • Document trade-offs so the next engineer can move faster
  • Mentor through design reviews and production ownership

Contact

Let’s talk data systems

Open to conversations about storage architecture, pipeline performance, and hard scaling problems.

Languages

High proficiency across languages

I have high proficiency in English, Russian, Czech, and Italian — and I’m comfortable collaborating professionally in all of them.