Reliable, Scalable Data Pipelines — From Source to Insight

Reliable, Scalable Data Pipelines — From Source to Insight

What We Offer

End-to-End Pipeline Development:
We develop custom ETL pipelines to extract, clean, validate, and store data in cloud systems like Google Cloud Storage and BigQuery.

Data Quality & QA Automation:
Our team implements schema-driven validation, real-time freshness checks, and detailed reporting to ensure your data is clean, complete, and trustworthy.

Pipeline Monitoring & Issue Resolution:
We integrate monitoring tools like Grafana to visualize ingestion health, detect stale data, and trigger alerts when data flow breaks.

Maintenance & Enhancement: We actively maintain and evolve client pipelines to accommodate new sources, schema changes, or performance upgrades.

Tech Stack Expertise

Cloud Platforms

GCP (Cloud Storage, BigQuery), Azure

Data Pipelines

Airflow, custom Python ETLs

Monitoring

Grafana, custom freshness dashboards

Formats & APIs

JSON, CSV, REST APIs, Web scraping

Example Use Cases

• Scraping zoning & permit data from city portals for real estate analytics
• Validating and routing supply chain records into BigQuery
• Monitoring stale data pipelines across 20+ sources with dashboards
• Cleaning and ingesting survey data from 3rd-party forms to client’s data lake

Empowering Data Across Industries

• Government & Municipal Data
• Urban Planning & Real Estate Analytics
• Regulatory Compliance
• Fintech & Logistics

Sample Case Study Teaser

Building a City-Wide Land Use Pipeline
Our team built a robust ETL pipeline for a client ingesting land-use and rezoning applications from a major U.S. city’s planning portal. The solution featured schema validation, freshness dashboards, and real-time alerts — improving decision readiness by 80%.

Ready to Make Your Data Reliable?

Let’s build something powerful together. Transform your raw data into real-time, analytics-ready insights.

Contact us