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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
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Industry
Industry

Telecommunications

Duration
Durationinfo-circle

17 months

Budget
Budget

50K - 199K

Start Date
Start Date

1 November 2020

Team Size
Team Size

Confidential

Engagement Model
Engagement Model

Onshore

Project Capability Score (PCS)

gauge meter
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

mapPune, 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

  • CloudCloud

Tech Stack

  • Google Cloud Platform (GCP)Google Cloud Platform (GCP)
  • Google Big QueryGoogle Big Query

Client Endorsement

Overall Review Rating

4.75star

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

Note: This endorsement is based on publicly available client feedback from external review sources.

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