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Service

Data Engineering & Analytics

Data pipelines, analytics dashboards, and reporting systems that turn scattered data into decisions.

Data Engineering Analytics BI Dashboards ETL Data Warehouse Reporting
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data engineering
Overview

What Our Data Engineering & Analytics Team Delivers

Most businesses have more data than insight. TGT helps teams collect, clean, connect, and visualize data so leaders can make decisions with confidence instead of waiting on manual reports.

We build data pipelines, warehouses, dashboards, reporting layers, and analytics products that bring information together from apps, CRMs, ERPs, marketing tools, and operational systems.

Our data engineering approach focuses on reliability, clarity, and practical use. The goal is not just a dashboard; it is a data foundation your team can trust.

When this service helps most

  • Replacing manual reporting with automated dashboards.
  • Connecting data from multiple business systems into one source of truth.
  • Preparing clean data for AI, forecasting, or advanced analytics.
  • Improving leadership visibility across sales, operations, finance, or product metrics.
Key Capabilities
ETL and ELT data pipeline development
Data warehouse and lakehouse architecture
Business intelligence dashboards and reports
Data quality, validation, and governance workflows
Analytics API and product reporting features
Cloud data platform setup and optimization
How We Work

Our Data Engineering & Analytics Process

01
Data Source Mapping
02
Metric & Reporting Definition
03
Pipeline Architecture
04
Data Modeling
05
Dashboard Development
06
Validation & QA
07
Automation & Monitoring
Tech We Use

Technology Stack

Python
SQL
PostgreSQL
BigQuery
Python
SQL
PostgreSQL
BigQuery
Snowflake
Airflow
Power BI
Tableau
Snowflake
Airflow
Power BI
Tableau
Flexible Engagements

Choose the Right Delivery Model

We keep engagement models flexible so you can start small, move fast, or scale a dedicated product team when the roadmap grows.

01

Fixed Price

Best For: Well-defined projects

Clear scope, fixed budget, defined milestones. Perfect for MVPs and Phase 1 builds.

Clear milestones & budgets
Defined requirements upfront
Ideal for MVPs and POCs
No surprise invoices
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02

Time & Material

Best For: Evolving requirements

Agile-first approach where you pay for actual hours worked. Maximum flexibility.

Agile-first approach
Pay for actual hours worked
Scale team up or down
Weekly progress reports
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03

Dedicated Team

Best For: Long-term product dev

Fully embedded engineers, daily standups, and CTO-level technical oversight.

Full-time dedicated engineers
Daily standups & demos
CTO-level oversight
Transparent monthly billing
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Common Questions

Frequently Asked Questions

Straight answers about how our Data Engineering & Analytics service works, what we deliver, and how we support your team.

Yes. We can integrate data from APIs, databases, files, CRMs, ERPs, marketing platforms, and custom systems into a structured reporting layer.
Yes. We design dashboards around business questions, not just charts, so leadership and operations teams can read them without needing SQL knowledge.
Yes. Clean pipelines, well-defined metrics, and reliable data models create a stronger foundation for future AI and machine learning initiatives.
Ready to Get Started?

Ready to Discuss Data Engineering & Analytics?

Tell us what you want to build or improve. We will review your goals and suggest a practical next step.