3H Systems Inc.

Simplifying the Complex

Data Pipeline ETL ELT Services

Data Pipeline Services

ETL & ELT Solutions for Seamless Data Integration and Processing

Professional ETL & ELT Pipeline Services

Our data pipeline services help SME companies automate their data workflows, ensuring clean, consistent, and timely data flows across all systems. Whether you need traditional ETL processes or modern ELT architectures, we design and implement robust pipelines that scale with your business.

ETL Services (Extract, Transform, Load)

  • Data extraction from multiple source systems
  • Data cleansing and validation processes
  • Business rule implementation and data transformation
  • Automated data loading into target systems
  • Error handling and data quality monitoring
  • Batch processing optimization
  • Data lineage tracking and documentation
  • Performance tuning and monitoring

ELT Services (Extract, Load, Transform)

  • Raw data extraction and loading
  • Cloud-native transformation processes
  • Real-time and near-real-time processing
  • Scalable cloud data processing
  • Advanced analytics and machine learning integration
  • Data lake and data warehouse integration
  • API-based data integration
  • Streaming data processing

Technical Specifications

ETL Tools: Apache Airflow, Talend, Informatica, Pentaho, custom Python/Java solutions

ELT Platforms: AWS Glue, Google Cloud Dataflow, Azure Data Factory, Snowflake, dbt

⚡ Accelerate Your Data Operations Today!

Stop wasting time on manual data processes! Our ETL/ELT pipeline services automate your data workflows, ensuring your SME company always has access to clean, up-to-date information. With our expert implementation, you'll reduce data processing time by 80% and eliminate human errors. Don't let inefficient data processes hold your business back – let us build the perfect pipeline for your needs. Get started with a free data assessment!

Case Study: E-commerce Retailer

Challenge: A growing e-commerce company was manually processing data from their website, inventory system, customer database, and payment processor. This process took 6-8 hours daily and often resulted in data inconsistencies and delayed reporting.

Solution: We implemented a comprehensive ELT pipeline using AWS Glue and Apache Airflow that automatically extracts data from all sources, loads it into Amazon Redshift, and transforms it for business intelligence. The pipeline includes real-time processing for critical metrics and batch processing for historical data.

Results: