Resume - Daiki Mawatari

Modified

2026-05-24

Daiki Mawatari

Data Engineering Manager / MLOps Engineer

Resume (Website, PDF) | Resume (Japanese) (Website, PDF)

1. Professional Summary

Data Engineering Manager and MLOps Engineer with 10+ years of software engineering experience, including 4+ years in data engineering and machine-learning operations. Currently Data Engineering Team Manager at GENDA, leading cross-company data utilization, data-mart and dashboard delivery, MLOps, stakeholder alignment, and data-team operations. I translate business, sales, data-science, and engineering requirements into reliable data platforms, analytics workflows, and developer experience that can be operated continuously. My recent work combines Databricks, dbt, Snowflake, BigQuery, AWS, Google Cloud, AI-enabled workflows, notebook tooling, permissions, governance, and team practices to support data utilization and ML operations.

2. Core Skills

Data and analytics platforms: Databricks, Snowflake, BigQuery, dbt Core / Cloud, Airflow / MWAA, data marts, dashboards
Cloud and infrastructure: AWS, Google Cloud, Terraform, GitHub Actions, Docker
MLOps and AI enablement: CI/CD, DataRobot, Snowpark ML, Databricks notebooks, notebook tooling, MCP tooling, AI coding agent workflows
Developer productivity and governance: Nix / mise, Ruff, review-backed deployment, permission design, data governance, documentation
Data-team operations: team management, code review, hiring, 1:1s, technical handoff, and operating rhythms
Engineering foundation: Python, SQL, Shell Script, C, C++

3. Professional Experience

3.1. GENDA Inc. | Data Engineer / MLOps Engineer; Data Engineering Team Manager

Nov 2024 - Present | Full-time

Lead data utilization work for group companies, connecting management, sales, and field requirements in an M&A-expanding business to data platforms, data marts, dashboards, and analytics workflows.
Became Data Engineering Team Manager in 2026/04; manage progress, code reviews, 1:1s, hiring activity, and technical handoff practices.
For karaoke business data utilization, organized 9 management and sales reports, 13 ingestion DAGs, and 37 dashboards into a roadmap with dependencies and migration priorities.
Reduced shop-analysis report generation from roughly 1-2 days to about 20 minutes by improving the generation process.
Improved MLOps by introducing CI/CD, Ruff, mise, review-backed deployment, and Databricks-based scoring migration where appropriate.
Improved AI-ready notebook and development workflows so data scientists and data engineers can validate business value faster with safer developer experience.

3.2. PIVOT Inc. | Freelance Data Engineer

Jun 2025 - Present | Contract

Build and optimize BigQuery and dbt models for KPI reporting, referral analytics, GA4 / ULIZA tracking, and model performance.
Reworked OOM-prone window-function-heavy logic into a JOIN-based design and reduced a major model runtime from 51-90 minutes to a few minutes.
Implemented incremental all-period user tracking with GA4 identity resolution from anonymous visit through login.
Improved BigQuery MERGE efficiency through stable merge keys, partitioning, and clustering.

3.3. hacomono Inc. | Data Engineer

Apr 2024 - Oct 2024 | Full-time

Served as solo data engineer owning customer and internal DWH transfer operations, infrastructure / IaC changes, and delivery support across BigQuery, Embulk, AWS, Google Cloud, Terraform, and Terragrunt.
Improved batch transfer stability using RDS metrics, transfer logs, and Embulk tuning.
Moved BigQuery permissions from manual grants toward Terraform-managed dataset-level access control.
Validated RDS MySQL to BigQuery real-time transfer with Google Cloud Datastream and documented failure / recovery behavior.

3.4. CNS HOKKAIDO Co., Ltd. | Data Engineer / MLOps Engineer

Apr 2022 - Mar 2024 | Full-time

Migrated 50 customer-behavior prediction workflows from on-premises infrastructure to AWS, Snowflake, and DataRobot.
Led dbt Core migration from Snowflake Python API and Jupyter Notebook workflows to improve dependency visibility, readability, and maintainability.
Investigated migration from DataRobot to Snowpark ML for cost, performance, and security; led a small validation team.
Improved parallel execution for Bayesian retail customer-count prediction across roughly 200 stores, completing processing in about 2 days against a 4-day requirement.

3.5. Shinko Shoji LSI Design Center Co., Ltd. | Embedded Software Engineer

Aug 2018 - Mar 2022 | Full-time

Developed automotive and industrial embedded firmware for traction-control updates, sprayer inverter control, and operation controllers across requirements, design, implementation, and testing.
Worked with C / assembler, Renesas and GHS embedded toolchains, RH850 / RL78 microcontrollers, QAC, and winAMS.
Automated formatting for 30+ test specification documents across 5 engineers; used Python for customer-facing analysis materials and delivered CAN communication lectures.

3.6. Okuma Corporation | Windows Application Engineer

Apr 2016 - Jul 2018 | Full-time

Worked on Windows CAD / CAM applications for CNC machine tools, including UI requirements, testing, user inquiries, defect handling, and performance tuning.
Built a foundation in quality assurance, domain understanding, and user-facing software maintenance.

4. Education

Bachelor of Science in Mathematics, Hokkaido University

5. Certifications

Apr 2023: Japan Statistical Society Certificate Grade 2
Mar 2015: TOEIC 805

6. Speaking and Writing