ReimeiTech
REIMEITECH.
Category · 8 services

Data Engineering & Reporting

Data your team can actually trust.

Pipelines, warehouses, dashboards, and reporting — engineered with definitions, tests, and lineage so leadership doesn't have to ask "is this number right?"

/ Services in this category

Data Pipeline Development

Production ELT into a warehouse, with tests and lineage.

Pipelines from operational databases, APIs, and SaaS tools into BigQuery, Snowflake, or Postgres — with dbt models, tests, and column-level lineage.

Learn more

Web Scraping Services

Robust, respectful scrapers for the data you actually need.

Targeted scrapers built with rate-limit hygiene, IP rotation when needed, change-detection, and structured output — designed to keep running, not to break the moment a CSS class changes.

Learn more

ETL Automation

Reliable batch + streaming pipelines with observability.

ETL/ELT systems with scheduling, retries, dependency management, and observability — built on Airflow, Dagster, Prefect, or simpler tools when those are overkill.

Learn more

Business Dashboard Development

Dashboards built on trusted, defined metrics.

Metabase / Looker / custom dashboards backed by a metrics layer, with explicit definitions, ownership, and version control.

Learn more

Automated Reporting Systems

Scheduled reports your team stops dreading.

Weekly / monthly / quarterly reports generated from the warehouse, formatted for board / leadership / customers, and delivered with the right level of context.

Learn more

AI Reporting Systems

Narrative summaries of dashboards, not just the dashboards.

LLM-generated narratives explaining what changed, why, and what to do — alongside the numbers, with citations to the underlying rows.

Learn more

Analytics Platforms

Product analytics with the metrics your team actually needs.

Custom product analytics — event tracking, funnel analysis, cohort retention — integrated with Amplitude, PostHog, or a custom warehouse-backed solution.

Learn more

Data Cleaning & Transformation

Take the bad data you have and make it usable.

Dedup, normalization, validation, and enrichment of customer/product/order data — usually a one-time project plus ongoing rules to prevent regression.

Learn more