Data Engineering for Business Intelligence (BI) | Professional Services

Building the foundation of data driven decision making

From data extraction, transformation, and storage to custom development of apps and dashboards, our data engineering services are designed to enable faster time to insight, improved data accuracy and increased user adoption.

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Transform your organization with a robust
and custom data solution

Drawing on our experience with all major data technologies, we excel in providing data solutions that are unique to each customer. This puts your data to work, enabling you to gain valuable insights and make confident, data-driven decisions.

AWS BI

AWS for BI

We will design and build an end-to-end analytics backend structure for your Business Intelligence layer using AWS (Amazon Web Services). We will create a pathway for your structured and semi-structured data from different sources to be easily processed through a user-friendly dashboard, app or interface. Our services include:

  • Data Ingestion
  • Data Storage and ETL (Extract, Transform, Load)
  • Optimize and/or design architecture for BI
  • Data Pipelines
SnowFlake

SnowFlake for BI

Snowflake marries the best of old and new database technology. This merged system makes it particularly well-suited to meet the needs for quick processing and extraction of data, sharing of both the raw data and conclusions, as well as storage and cross-indexing of the large data volumes demanded by modern BI systems. Our services include:

  • Snowflake Integration
  • Snowflake Optimization
  • Snowflake Migration
  • Snowflake Implementation
Mulesoft

MuleSoft Implementation

With MuleSoft, your data integration issues can be alleviated. MuleSoft helps integrate systems, making them communicate efficiently through automated workflows. Our services include:

  • MuleSoft Salesforce Integration
  • SaaS Application Integration
  • Data Integration
  • ServiceNow Integration
Tableau

Tableau Extension Development

Tableau extensions are a great way to add new features to your company’s unique Tableau structured setup. Let’s build something exceptional. Our services include:

  • Tableau custom connector development
  • Tableau Extension dashboard (custom) with HTML/CSS/JS
  • Extension for your service
  • Extension Consulting
Custom

Custom API Connectors

Our engineering department is well-trained with years of experience in developing and maintaining data connectors and business critical pipelines of any scale. No matter which BI tool you prefer, we have you covered. Our services include:

  • Custom connectors for Tableau
  • Custom connectors for Datorama/Marketing Cloud Intelligence
  • Custom connectors for Salesforce
  • Custom connectors for other platforms
Marketplace

Salesforce Marketplace Apps

Looking to host an application on Salesforce AppExchange or maybe Datorama’s Marketing Intelligence Marketplace? We are here to support you. Our services include:

  • Marketing Cloud Intelligence Apps development
  • Salesforce AppExchange development
Visuals

Custom Visuals for your BI

The standard visuals of a BI platform might not be enough. We can build unique to your business from scratch using JavaScript libraries, wrapped with CSS/HTML to bring your data to life. Our services include:

  • Datorama (Marketing Cloud Intelligence) custom visuals
  • Tableau custom visuals (using Tableau extension SDK)
Heroku

Salesforce Heroku

With your Salesforce data in Heroku Postgres, you can easily combine the capabilities of the Lightning Platform. Our services include:

  • Integrate Heroku and Salesforce
  • Heroku Data Services
  • Heroku Hosting Services

Data Engineering FAQs

Data engineering involves building and maintaining systems to collect, store, and process large amounts of data. Data engineers design data pipelines, integrate data from multiple sources, and ensure scalability, reliability, and efficiency.

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Data pipelines move data from sources (e.g., events, transactions, databases) to destinations (such as data warehouses). These pipelines collect, transform, and store data for further analysis and business insights.

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  • ETL (extract, transform, load) involves gathering data from various sources, transforming it into a usable resource, and loading it into accessible systems.
  • ELT (extract, load, transform) transfers raw data directly to a target server (e.g., Data Warehouse or Data Lake) for downstream use, with transformations occurring within the repository itself.
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Common tools include Snowflake, Redshift (AWS), Big Query (GCP), Databricks, Synapse (Azure), Apache Spark, Airflow, dbt, Tableau, and Looker.

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  • Ensure data quality and integrity.
  • Follow data governance and security guidelines.
  • Optimize system reliability, performance, and quality.
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Salesforce Ridge Partner

10+

Years of Salesforce
Intelligence Experience

700+

Projects delivered on
Salesforce products

140+

Salesforce experts
ready to help you

85+

Salesforce
Certifications

Trusted by the best

“The team had knowledge and familiarity with the data streams, tools which made the last minute nature of some requests easy for them to manage. The Decision Foundry team was extremely organized from start to finish and ensured nothing fell thru the cracks. I was extremely impressed with our final output, which exceeded my expectations.”

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