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Data Science, BI & Data Engineering

IT staff augmentation for data experts (Data Science, BI, ETL & Data Engineering contracting) at Commoditech provides flexible access to engineers and analysts. We design modern data warehouses, implement automated ETL/ELT pipelines, and visualize key business metrics (BI).

How can our data experts support your business?

Raw data is worthless until it is properly structured, cleaned, and visualized. We offer access to specialists across the entire spectrum of data engineering and analysis:

  • Data Engineering & Data Warehouses: We design and optimize modern data warehouses (BigQuery, Snowflake, Redshift) and data lakes (Data Lakes).
  • ETL/ELT Pipelines (Data Integration): We automate data integration from CRM, ERP systems, and production databases using tools like dbt, Apache Airflow, Spark, and cloud integration technologies.
  • Business Intelligence (BI) & Dashboards: We design clear and interactive dashboards in Power BI, Tableau, and Looker Studio, enabling data-driven decision-making.
  • Advanced Analytics & Data Science: We build predictive statistical models (demand forecasting, churn analysis, price optimization) using Python, R, and machine learning libraries.

Why choose IT staff augmentation for Data Scientists and Data Engineers at Commoditech?

Recruiting experienced data engineers is time-consuming and expensive. Commoditech allows you to scale your analytics team instantly:

  • Comprehensive Competencies: We provide individual developers or complete interdisciplinary teams (e.g., ETL Developer + BI Designer + Data Scientist).
  • Business-Goal Oriented: We focus on making data translate into tangible savings, automated reporting, and optimized management decisions.
  • Cloud Expertise (GCP, AWS, Azure): We optimize the costs of processing large data sets (Big Data) in public clouds.

Competencies and technologies of our experts

Role / Area Key technologies
Data Engineers (Data Engineering) Python, SQL, dbt, Apache Airflow, Apache Spark, Kafka, Snowflake, BigQuery, AWS Redshift
BI Developers (Business Intelligence) Microsoft Power BI (DAX, Power Query), Tableau, Looker / Looker Studio, Qlik Sense
Data Scientists (Machine Learning) Python, R, Scikit-learn, XGBoost, TensorFlow, Pandas, NumPy, Jupyter Notebooks
Databases & Integrations PostgreSQL, MySQL, MS SQL Server, MongoDB, Elasticsearch, REST API, Fivetran

Need support with data analysis and integration?

Contact us. We will find data analysts, ETL engineers, and BI developers for you, ready to start working within a few days.

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