About

Profile

Atsushi SUGAI

Data Engineer / Databricks Senior Solution Consultant / Databricks Trainer

With a background in network engineering and project management, I transitioned into data engineering. I currently focus on Databricks, working across data platform design, implementation, and operations, while also delivering official Databricks training in Japanese.

Work Experience

Ultra Tendency Japan K.K.

Data Engineer / Databricks Senior Solution Consultant / Databricks Trainer October 2025 – Present

DMM.com Group

Data Engineer January 2024 – September 2025

Data engineering and metadata enhancement for companywide big data.

GCP / BigQuery / Dataform / Composer / Airflow / Looker / LookML / Python / SQL / MySQL / Embulk / CircleCI / AWS / Athena / Terraform

BrainPad Inc.

Data Engineer June 2022 – December 2023

Data infrastructure for a global theme park company, and data pipeline for cosmetics company marketing operations.

Azure / Synapse Analytics / GCP / BigQuery / Terraform / Ansible / Chef InSpec / Python / SQL / Embulk

KDDI Corporation

Network Engineer / Project Manager January 2013 – June 2022

AWS / Python / Java / LTE / Android OS

Skills

Databricks: Delta Lake · Unity Catalog · Workflows · MLflow · DLT
Data Engineering: data pipeline design · data quality management · metadata management
Query Engines: BigQuery · Dataform · Athena · SQL
Workflow: Apache Airflow / Cloud Composer
Cloud: GCP (primary) · Azure · AWS
IaC / DevOps: Terraform · Ansible · CircleCI
Languages: Python · SQL
Other: Kubernetes · Docker · Linux · networking

Certifications

Databricks Certified Data Engineer Professional
Databricks Certified Data Engineer Associate
Azure Data Engineer Associate
Azure Administrator Associate
Google Cloud Professional Data Engineer
Google Cloud Associate Cloud Engineer
AWS Certified Solutions Architect – Associate
HashiCorp Certified: Terraform Associate
CKA (Certified Kubernetes Administrator)
Oracle Master Silver SQL
OSS-DB Silver 2.0

About This Blog

A place to document learning and share technical notes. Mainly covers Databricks, data engineering, cloud, and Python topics.