Which Warehouse Do You Recommend?

BigQuery for marketing/product analytics and low ops overhead. Snowflake for enterprise governance. Postgres with materialized views for small datasets under 100GB. We pick based on your patterns, not brand loyalty.

Can You Migrate an Existing Pipeline?

Yes, we commonly migrate Airflow/Luigi/cron scripts to dbt + Fivetran. Migration usually runs in parallel for a month so we can validate parity before cutover.

Do You Handle Real-Time / Streaming?

For sub-minute latency we use Kafka or Kinesis + Flink/Materialize. For most business analytics, 15-minute batch is more reliable and 10x cheaper, we'll recommend batch unless realtime is genuinely required.

Who Maintains the Pipeline After Launch?

Your choice. We can stay on retainer, train your team, or hand off fully documented. Most clients keep us on light retainer for source changes + new model requests.

What About Data Privacy and PII?

We define who can access sensitive fields, how test data is handled, and how credentials are stored. Any GDPR, HIPAA, or similar requirement needs review against your actual data and contracts.

Data & Analytics

Data Pipelines

Build data pipelines that extract, transform, and load data from multiple sources into your analytics platform. Automate your data flows and ensure your team always has access to clean, reliable data.

Build Your Data Pipeline

Data Engineering Services

End-to-end data pipeline development from source extraction to analytics-ready datasets.

ETL Pipeline Development

Extract, transform, and load data from multiple sources into your data warehouse or analytics platform.

Data Transformation

Clean, normalize, and enrich your data to ensure quality and consistency across sources.

Cloud Data Engineering

Scalable cloud-based data pipelines using AWS, Google Cloud, or Azure services.

Benefits of Data Pipelines

Centralize data from multiple sources
Automated data quality checks
Scalable processing for big data
Real-time and batch processing options
Reduced manual data preparation
Reliable, scheduled data flows

Data Sources We Connect

Databases

PostgreSQL, MySQL, MongoDB, SQL Server, Oracle, and more.

Cloud Applications

Salesforce, HubSpot, Shopify, QuickBooks, and SaaS platforms.

Files & APIs

CSV, JSON, XML files, REST APIs, GraphQL endpoints, and webhooks.

Streaming Data

Real-time data from IoT devices, logs, and event streams.

Ready to Streamline Your Data Flow?

Let's build data pipelines that automate your ETL processes and deliver clean data for analysis.

Start Your Pipeline Project View Pricing

Our Process

How We Deliver

We adapt the scope and sequence to the systems, people, and goals involved.

Source Audit

We map every data source, operational DBs, SaaS APIs, event streams, spreadsheets. We document schemas, volumes, and refresh cadence.

Warehouse Selection

BigQuery, Snowflake, Redshift, or Postgres, we pick based on query patterns, data volume, and existing tooling. Cost modeled before commit.

ELT Pipeline Build

Extract with Fivetran, Airbyte, or custom Python. Load raw. Transform with dbt. Each step tested, versioned, and monitored.

Observability & Handoff

Data quality tests in dbt, freshness alerts via Monte Carlo or custom checks, lineage docs. Analysts get a catalog, engineers get a runbook.

Scope & Handoff

What You Receive

The exact deliverables are agreed before work begins and documented at handoff.

Source map

Inputs, owners, and update cadence

Pipeline

Ingestion and transformation workflows

Checks

Data quality and failure alerts

Handoff

Lineage and operating documentation

FAQ