endorsedOngoing

GCP Data Platform Staff Augmentation for Fiber Optics Manufacturer

Services Covered:

Staff Augmentation • Big Data Analytics and Business Intelligence • Data Engineering • Cloud Consulting and Services

Industry

Telecommunications

Duration

69 months

Budget

50K - 199K

Start Date

1 November 2020

Team Size

Confidential

Engagement Model

Onshore

Project Capability Score (PCS)

79/100

Good

Project Capability Score (PCS) estimates how capable Dataeaze Systems 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

Confidential

Pune, India

Project Summary

A fiber optics manufacturing company engaged Dataeaze Systems for staff augmentation to implement, maintain, and enhance a Google Cloud data platform. The vendor helped build a centralized data lake, implemented ELT pipelines to BigQuery, and supported analytics use cases. The engagement improved analytics turnaround times and provided quality resources under an agile delivery model.

Key Challenges

Consolidate data across various sources with complex data movement automation
Implement, maintain, and enhance a data engineering automation and data platform on Google Cloud Platform

Project Deliverables

Centralized data lake on Google Compute storage
ELT data movement pipelines to BigQuery
Base infrastructure setup for initial business use cases
Onboarding additional data sources to enable analytics

Project Solution

Dataeaze provided a team of experts chosen through a decision cycle and sample-solution evaluation. The team set up a centralized data lake on Google Compute storage, implemented ELT pipelines to BigQuery, and enabled analytics by onboarding additional data sources. Recruitment included collaboration with the CEO and project leads through a POC phase, after which leads and additional data engineers were placed to run the projects in Scrum mode.

Project Outcome

Multiple analytics use cases have drastically reduced turnaround time due to timely refreshed data in the data warehouse
A well-coordinated Scrum workflow with weekly delivery schedules and close daily interactions
Quality resources provided at reasonable costs and strong technical delivery

Platforms

Cloud

Tech Stack

Google Cloud Platform (GCP)
Google Big Query

Client Endorsement

Overall Review Rating

4.75

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Thanks to Dataeaze Systems, multiple analytics use cases turnaround time has reduced drastically with readily available data in the data warehouse. The team has provided quality resources at very reasonable costs. Overall, they have been a team with outstanding skills.”
Jayakkumar Krishnasamy
Head of Data Management & Engineering
Date: 04/18/2022