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Custom ETL Pipeline Builder

Build automated data pipelines from multiple sources into your warehouse

❌ The Problem

  • Data scattered across APIs, databases, and files
  • Manual data exports and imports are time-consuming
  • Off-the-shelf ETL tools don't support custom logic
  • Data quality issues and duplicates go unnoticed
  • Can't build unified analytics on fragmented data

✅ The Solution

  • Multi-source data extraction (APIs, databases, files)
  • Custom transformation logic with dbt
  • Incremental loading and deduplication
  • Error handling and data quality checks
  • Unified data warehouse for analytics

How It Works

1

Source Identification

Identify data sources: APIs, databases (Postgres, MySQL), CSV files, etc.

2

Extraction

Use Fivetran, Airbyte, or custom Python scripts to extract data

3

Transformation

dbt models clean, deduplicate, and transform raw data

4

Loading

Load transformed data into Snowflake, BigQuery, or Redshift

5

Monitoring

Airflow orchestration with error handling and alerts

Key Features

Multi-source data extraction (APIs, databases, files)
Custom transformation logic with dbt
Incremental loading and deduplication
Error handling and data quality checks
Scheduled runs with Airflow orchestration
Custom Python connectors for niche sources
Real-time or batch processing modes
Schema evolution and versioning
Data lineage documentation
Slack/email alerts for pipeline failures

Works With

Fivetran
dbt
Airflow
Snowflake
BigQuery
Airbyte
Python
APIs

Custom pipelines built with industry-standard tools.

Perfect For

Data Teams

Build unified data infrastructure for analytics

Analytics Leaders

Consolidate data from multiple sources

Growing Companies

Scale data infrastructure as you add tools

Pricing

$4,800

One-time setup + configuration

Optional: $650/month ongoing maintenance

Includes pipeline monitoring, new source integration, and support

Custom ETL pipeline for your data sources

dbt transformation models and testing

Orchestration and monitoring setup

30 days post-launch support

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