EndorsedendorsedCompleted

Snowflake Data Lake, ETL Pipelines & GenAI Agents

Services Covered:

AI and Machine LearningCloud Consulting and ServicesCustom Software Development
Project hero — replace with case study imagery
Industry
Industry

Software Development

Duration
Duration

5 months

Budget
Budget

10K - 49K

Client Size
Start Date

1 February 2024

Team Size
Team Size

1-5 Employees

Engagement Model
Engagement Model

Nearshore

Project Capability Score (PCS)

gauge meter
80/100
Strong

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

Perfsol

map Estonia

Project Summary

DATAFOREST built a Snowflake data lake architecture, developed multiple ETL pipelines, and created a chain of GenAI agents to automate workflows for a software development client. The team delivered each phase on time and within budget and maintained effective communication through in-person and virtual meetings. Their consulting-plus-engineering delivery approach and allocation of internal experts impressed the client.

Key Challenges

  • Require expertise in data architecture to build a complex data lake
  • Build effective data pipelines for the client's clients
  • Develop multiple AI agents to automate workflows with Gen AI

Project Deliverables

  • Prepared data lake architecture for Snowflake
  • Automated ETL pipelines
  • Chain of AI agents to automate workflows with Gen AI

Project Solution

DATAFOREST provided data engineering and AI expertise. The vendor prepared the data architecture for a Snowflake data lake, developed several ETL pipelines, and created a chain of AI agents to automate workflows using Gen AI. The engagement was staffed by a small team (2-5 members) and emphasized consulting-led allocation of data and solution architects.

Project Outcome

  • Deliverables were completed on time and within budget
  • Prepared data lake architecture
  • Automated ETL pipelines
  • Delivered a set of AI agents that met initial requirements

Platforms

  • CloudCloud

Tech Stack

  • SnowflakeSnowflake

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

DATAFOREST delivered each project phase on time and within budget. The team communicated effectively via in-person and virtual meetings, email, and messaging apps. Their unique delivery approach based on consulting and engineering impressed the client, resulting in a positive engagement.

Anonymous

Executive

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

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