endorsedOngoing

BI, Data Engineering & DevOps for Kynetec

Services Covered:

AI and Machine Learning • Big Data Analytics and Business Intelligence • Cloud Consulting and Services

Industry

Agriculture

Duration

33 months

Budget

Confidential

Start Date

1 November 2023

Team Size

1-5 Employees

Engagement Model

Offshore

Project Capability Score (PCS)

80/100

Strong

Project Capability Score (PCS) estimates how capable DigitalMara is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Kynetec

St. Louis, United States of America

Project Summary

DigitalMara provides Power BI, data engineering, machine learning and DevOps services to Kynetec, a market research company focused on animal health and agriculture. They developed dynamic Power BI dashboards, migrated ML models to Databricks with automated pipelines, and automated infrastructure deployment with Terraform across AWS and Azure. The client extended the partnership and expanded the team into a long-term engagement.

Key Challenges

Power BI – Data visualization and dashboard improvements
Data Engineering – Predictive analytics and machine learning
DevOps – Infrastructure automation and CI/CD integration

Project Deliverables

Power BI dynamic reports and dashboards with advanced filtering and real-time data integration
Migration of machine learning models to Databricks and automated predictive analytics pipelines
Terraform-based infrastructure automation integrated with CI/CD across AWS and Azure
Distinct workflows for Data Engineering and Machine Learning teams

Project Solution

DigitalMara improved existing Power BI dashboards and developed new dynamic reports with advanced filtering and real-time integration. They migrated machine learning models to Databricks, created automated pipelines for predictive analytics, and established distinct workflows for Data Engineering and ML teams. For DevOps, they automated deployments using Terraform and integrated infrastructure automation with CI/CD pipelines to improve stability, scalability, and performance across AWS and Azure.

Project Outcome

The client extended the partnership and expanded the team to three dedicated engineers
Onboarding and hiring were completed within an average of two weeks
The engagement grew from a smaller project into a long-term, open-ended contract

Platforms

Tech Stack

Amazon Web Services (AWS)
Azure
Azure DataBricks

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“DigitalMara has delivered high-quality work, and the client has decided to extend their partnership. The team is flexible and highly adaptive to the client's changing needs. DigitalMara proactively identifies challenges, offers innovative solutions, and provides excellent expertise and support.”
Scott Clemmons
Sr Director
Date: 10/15/2024