EndorsedendorsedCompleted

Big Data Infrastructure Revamp and Cleanup for FinTech

Services Covered:

Big Data Analytics and Business IntelligenceCloud Consulting and ServicesSolution Architecture
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Industry
Industry

Financial Services

Duration
Duration

4 months

Budget
Budget

10K - 49K

Client Size
Start Date

1 October 2019

Team Size
Team Size

1-5 Employees

Engagement Model
Engagement Model

Onshore

Project Capability Score (PCS)

gauge meter
71/100
Good

Project Capability Score (PCS) estimates how capable Oneture Technologies 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

mapNew Delhi, India

Project Summary

Oneture Technologies restructured and archived large, organically grown data sets for a fintech company and helped finalize a new architecture with an AWS team. They built partitioning scripts, integrated Power BI, and improved query performance. The engagement delivered under a strict timeline and enabled significant reductions in query time and improved data access for product teams.

Key Challenges

  • Consolidate disparate data sources and provide historical access for product teams
  • Revamp infrastructure to handle large and growing data volumes using Hadoop
  • Lack of in-house data engineering resources and a tight rollout timeline

Project Deliverables

  • Structured and archived databases (including analysis of ~800+ tables)
  • Data partitioning scripts for regular updates
  • Architecture finalized with the AWS team
  • Power BI integration for reporting

Project Solution

Oneture analyzed and restructured disparate databases (including an ~800+ table database), archived legacy data, wrote scripts to partition data and automate updates, and integrated the data into Power BI for reporting. They spent initial weeks finalizing pipelines and architecture and collaborated with an AWS team to finalize the cloud architecture. The vendor prioritized open-source tools and custom scripting to meet the client's requirements.

Project Outcome

  • Reduced long-running MySQL query times from more than 15 minutes to 3.8 seconds
  • Delivered three of four planned deliverables within a strict timeline
  • Changed how teams access and view data, enabling improved data consumption
  • Generated opportunities for follow-on engagements

Platforms

  • CloudCloud

Tech Stack

  • Apache HadoopApache Hadoop
  • Amazon Web Services (AWS)Amazon Web Services (AWS)
  • MySQLMySQL

Client Endorsement

Overall Review Rating

4.5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

The team at Oneture Technologies met expectations. They delivered a customized solution within a strict timeline. Their work reduced query time significantly. Their openness spurred the opportunity for future engagements.

Anonymous

Head Data Science

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

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