Unlock the Power of Data with Expert Consulting Services

Book a free 30-minute consultation today using this link. In this session, we'll discuss your challenges and how I can help you overcome them.
After the initial consultation, my rate is $150/hour for each started hour, billed monthly.

My consulting services include:

• Comprehensive Presentation prior to Full-Scale Consulting (fixed price)
• Data Processing Workshops & System Architecture Consultations (remote or on-site)
• Pair Coding Sessions
• Bootstrapping a Data Processing Framework

Comprehensive Presentation Before Full-Scale Consulting

Before diving into full-scale consulting, I offer a detailed presentation, usually lasting between
one to two hours, that provides a big-picture view of how to build a company-wide data mesh.
This presentation covers various options, helping you understand which solution best fits your needs.
It can also serve as a valuable resource for business analysts, business intelligence teams,
data scientists, and reporting teams to align on the data strategy and infrastructure, ensuring a cohesive approach across departments.

Bootstrapping a Data Processing Framework

I provide a comprehensive service to set up a fully automated data processing infrastructure using PHP, Scala, Java, or Python. This includes:

• Selecting and configuring the right tools and technologies
• Preparing local and production environments
• Setting up or adjusting CI/CD pipelines
• Developing a codebase with a clear interface for developers, making it as simple as writing transformation jobs
• Implementing monitoring and telemetry solutions

With this framework in place, developers only need to focus on writing the transformation code, registering it in the application, and testing it locally.

To provide an example, if a task involves moving orders from storage A to storage B within a given timeframe, the developer would:

• Implement the JobInterface for data processing
• Register the job
• Define input parameters such as start-date and end-date
• Write and test the job code locally, for example using the CLI command: $ bin/data-mesh push:orders --start-date="2024-09-01" --end-date="2024-10-01

The framework provides developers, through the JobInterface, with:

• Access to data storages
• Secrets access
• Input parameters/arguments
• Telemetry
• Error handling
• Job chaining
• Log collection

This framework lowers the entry barrier, enabling developers unfamiliar with data engineering tools to work with Apache Spark.
The approachable syntax eases onboarding, allowing smooth integration into a company-wide data mesh.

The most daunting aspect of automating data processing is often setting up the infrastructure and configuring tools.
My goal is to remove that complexity, delivering a well-defined, plug-and-play solution that empowers your team to get started quickly and confidently.