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Data Lakehouse Platform Development & Staff Augmentation for Yara

Services Covered:

Custom Software Development • Business Process Outsourcing (BPO) • Staff Augmentation
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Industry
Industry

Agriculture

Duration
Durationinfo-circle

5 months

Budget
Budget

50K - 199K

Start Date
Start Date

1 June 2024

Team Size
Team Size

1-5

Engagement Model
Engagement Model

Nearshore

Project Capability Score (PCS)

gauge meter
79/100
Good

Project Capability Score (PCS) estimates how capable SENLA 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

YARA GmbH & Co. KG

map Germany

Project Summary

SENLA augmented YARA to develop and implement a Data Lakehouse-based data platform. The vendor built infrastructure on Amazon AWS (managed with Terraform) and implemented Python-based data processing pipelines to consolidate and analyze product data. The single SENLA assignee integrated well with stakeholders, met deadlines, communicated clearly, and demonstrated strong cultural fit, establishing a foundation for continued collaboration.

Key Challenges

  • Consolidate data from multiple sources, including different Yara product data.
  • Provide employees with easy access to analyze and work with consolidated data via a user-friendly interface.
  • Build the platform using a Data Lakehouse methodology to support analytical needs.

Project Deliverables

  • Data platform
  • Infrastructure on Amazon AWS managed with Terraform
  • Data processing pipelines implemented in Python
  • Data Lakehouse methodology implementation

Project Solution

SENLA developed and implemented a data platform for YARA. They provisioned and managed infrastructure on Amazon AWS using Terraform, implemented data processing pipelines in Python, and applied the Data Lakehouse methodology to consolidate and organize product data for analysis.

Project Outcome

  • Team consistently met deadlines and worked seamlessly with internal stakeholders.
  • Communication was clear and frequent, keeping stakeholders informed.
  • The vendor was flexible with staffing needs and aligned on meetings and syncs.
  • Their expertise in Data Lakehouse methodologies improved data management and analysis.
  • Strong cultural fit and commitment fostered continued collaboration.

Platforms

  • CloudCloud

Tech Stack

  • PythonPython
  • Amazon Web Services (AWS)Amazon Web Services (AWS)

Client Endorsement

Overall Review Rating

5star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“SENLA’s team has successfully completed the project. So far, they've met deadlines, communicated clearly and frequently, worked seamlessly with internal stakeholders, and proven a strong cultural fit. Overall, the team's drive to go the extra mile has set the foundation for further collaboration.”

Brian Faison

Business Controller

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

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