endorsedOngoing

Web Platform and ETL Development for Cloud & DevOps Provider

Services Covered:

Custom Software Development • Website Development

Industry

Software Development

Duration

55 months

Budget

50K - 199K

Start Date

1 January 2022

Team Size

1-5 Employees

Engagement Model

Nearshore

Project Capability Score (PCS)

78/100

Good

Project Capability Score (PCS) estimates how capable DATAFOREST 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

Advascale

Riga, Latvia

Project Summary

DataForest developed a web platform and ETL pipelines for a cloud and DevOps consultancy, delivering business and technical analysis as part of the engagement. The vendor completed the first phase and is scoping additional work; Agile processes and two QA iterations helped keep the project on schedule. The client highlighted DataForest's strong data engineering expertise and proactive, data-driven approach.

Key Challenges

Needed a mix of web development expertise and advanced knowledge in data engineering.

Project Deliverables

Business and technical analysis
ETL pipelines
Web management and reporting platform
QA iterations that polished the platform

Project Solution

DataForest performed business and technical analysis, created ETL pipelines and built a web platform for managing and reporting needs. They followed an Agile approach to align timing and scope, and completed two QA iterations to polish the platform. The engagement involved roles including a solution architect, data engineers, a React developer, a backend (Python) developer, and a project manager.

Project Outcome

Finished the project's first phase and scoped new activities
Delivered on schedule with well-defined requirements and stages completed within the timeframe
Communication via email, Slack, and calls
Demonstrated strong data engineering expertise and a proactive, data-driven approach

Platforms

Tech Stack

React.js
Python

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“By collaborating with DATAFOREST, the company has finished the project's first phase and is now scoping out new activities. Agile approaches and targeted results have led to a productive experience. Their planning strategies and high expertise in data engineering make them stand out.”
Elias Nichupienko
CEO
Date: 09/14/2022