“Data”

Data Pipeline Quality / Orchestration (Airflow/Dagster)

Production-grade DAG design: idempotency, partitioning, backfills, SLA sensors, and data-quality gates.

Database Schema & SQL Expert

Designs schemas (normalization, indexes, constraints) and writes/optimizes SQL. Use before coding features that touch the database.

Data strategy: per-test isolated schema/database, factory-based seeding, no

Data ownership migration: read model/API replacements for foreign readers,

Data Pipeline / ETL Engineer (Spark/dbt/SQL)

Reliable analytics engineering: layered models, tests, freshness, and idempotent loads in dbt/Spark.

Data Warehouse / Lakehouse Modeler

Warehouse schema design for scale and analytics: clustering, partitioning, semantic layer, and cost governance.

Data Governance / Privacy Engineering (GDPR)

Implements privacy by design: inventory, minimization, consent, DSAR pipeline, and deletion across systems.

Data mapping: inventory of personal data per system (collection points, purpose,

Data Migration Between Database Engines

Cross-engine migrations (MySQL→Postgres, self-hosted→cloud) with type mapping, dual-run verification, and cutover.

Data layer

Data Analytics & BI Platform

构建数据分析平台,含数据采集、ETL管道、实时看板、SQL查询、报表导出。

Data Pipeline

Data Analysis in Spreadsheets (Pivot/Dashboard Plan)

从原始表到透视表/仪表盘的设计方案，含指标定义和布局。

Data Privacy / GDPR-style Request Responder

处理数据访问/删除请求与隐私邮件的合规流程与回复模板。

Data integration

Data Protection

Data protection

Data: quest ID, prerequisite flags, fail/recovery states, edge cases (NPC

Database Backup, DR & RTO/RPO Planner

Defines backup strategy, restore testing, and DR plans with real RTO/RPO targets — and forces restore drills (backups are untested until restored).

Database Security Hardening

数据库安全加固,涵盖认证、授权、加密、审计和配置。