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Data Engineering and DWH Implementation: Manage Your Data Effectively

We build systems that help businesses work with data efficiently, making decisions faster and more accurately. From developing ETL/ELT pipelines to setting up Data Warehouses (DWH), we ensure your data is accessible, organized, and ready for analysis.

WHO IS THIS FOR?

  • Industry: Performance monitoring, logistics optimization, and quality control.
  • Retail: Automated reporting, sales analysis, and inventory management.
  • Financial Sector: Accurate data for analytics and reporting.
  • Technology Companies: Scalable infrastructure for handling large data volumes.
  • Startups: Quick solutions for investor presentations and hypothesis testing.

What We Offer

DWH Design and Implementation

  • What It Is

    We handle the entire Data Warehouse development process—from analyzing business needs to integrating with BI tools. Our warehouses combine data from multiple sources, making it easy to analyze and use for decision-making.

  • Who It Is For

    Businesses that need a centralized data storage system for automated reporting, forecasting, and performance analysis.

  • How We Work

    → Analyze your business goals and data sources (CRM, ERP, analytics tools).
    → Design a scalable, high-performance warehouse architecture.
    → Implement the system using solutions like BigQuery, Amazon Athena, or open-source tools like ClickHouse.

  • Example

    We built a BigQuery-based DWH for a retail company, consolidating sales, marketing, and logistics data. This reduced reporting time by 60% and improved analytics accuracy.

Building ETL/ELT Pipelines

  • What it is

    We automate data extraction, transformation, and loading (ETL/ELT) to consolidate data from multiple sources and prepare it for analytics.

  • Who It Is For

    Companies with fragmented data that need a faster, standardized approach to processing.

  • How We Work

    → Analyze data sources, volumes, and update frequency requirements.
    → Design robust pipelines aligned with business goals.
    → Use tools like Apache Airflow, Spark, and DBT to automate processes and reduce manual effort.
    → Optimize pipelines for real-time or scheduled data updates.

  • Example

    We built ETL pipelines for an e-commerce company, automating data collection from CRM, ERP, and analytics systems. This reduced processing time from 12 to 2 hours, improved accuracy, and enabled faster decision-making.

Data Infrastructure Optimization

  • What It Is

    We improve data warehouse performance, speed up analytics, and cut costs by adopting more efficient technologies.

  • Who It Is For

    Businesses using expensive cloud solutions (e.g., BigQuery) that want to reduce costs without sacrificing performance.

  • How We Work

    → Assess current infrastructure, including query performance, cost factors, and system load.
    → Migrate data to open-source solutions (ClickHouse, Postgres) or cost-effective platforms.
    → Optimize architecture, indexing, and queries for better speed and efficiency.

  • Example

    We migrated a tech company’s DWH from BigQuery to ClickHouse, cutting costs by 70%, increasing analytics speed by 30%, and reducing key query execution time from 10 to 3 seconds.

Data Modeling

  • What It Is

    We design data structures that consolidate information from various sources (CRM, ERP, web analytics) and prepare it for analysis.

  • Who It Is For

    Companies that need organized data for reporting, analytics, and decision-making.

  • How We Work

    → Analyze data sources and their relationships.
    → Design a data model based on business needs.
    → Optimize the structure for fast queries and seamless BI integration.

  • Example

    For a retail company, we combined data from Salesforce, Google Analytics, and 1C to create a unified data model for Power BI. This cut report preparation time by 40% and improved analytics accuracy.

BI and Analytics Support

  • What It Is

    We configure Data Warehouses to work with BI tools (Tableau, Power BI, Metabase) and create user-friendly reports and visualizations.

  • Who It Is For

    Companies that need clear, fast reports to analyze key metrics and support decision-making.

  • How We Work

    → Optimize data structures for seamless BI integration.
    → Create dashboards and visualizations tailored to your business needs.
    → Ensure fast query execution for analysts and managers.

  • Example

    For a financial company, we integrated their DWH with Tableau, reducing report preparation time from 3 days to 4 hours. This helped them respond to market changes faster and optimize their strategy.

WHY CHOOSE US?

FLEXIBILITY
We tailor our approach to your needs, whether building a scalable warehouse or migrating to cost-effective solutions.
TECHNOLOGIES
We use top tools like Apache Kafka for stream processing, ClickHouse for fast analytics, and Snowflake for cloud-based warehouses, ensuring reliability and efficiency.
EXPERIENCE
With 7+ years in retail, industry, and finance, we’ve completed projects ranging from DWH migration to ETL automation and BI setup for large-scale data operations.
RESULTS
We help cut infrastructure costs by up to 50% and increase data processing speed by up to 10x.

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