Transforming Data Lake Performance for a Global Biotech Innovator

Hylaine redesigned a fragmented cloud data architecture to improve reliability, accelerate queries, and support advanced analytics across business and scientific functions.

Client Overview

A life-extending biotechnology company conducting research and innovation at scale. With data volumes growing rapidly, the organization depends on a high-performing cloud-based data lake to fuel analytics, compliance reporting, and real-time insights across multiple departments.

The Challenge

The client’s cloud data lake architecture had evolved reactively over time, leading to performance bottlenecks, inconsistent ingestion processes, and underutilized data. Internal teams reported frequent delays in accessing needed datasets, and leadership lacked confidence in the infrastructure’s scalability.

There was no clear ownership or optimization strategy in place—and without improvements, the environment risked slowing scientific progress and enterprise decision-making.

The Solution

Hylaine conducted a deep technical assessment and redesigned the client’s Azure-based data lake for improved performance, maintainability, and scalability.

Key steps included:

  • Reviewing current ingestion processes, architecture, and data usage patterns
  • Identifying inefficiencies in data partitioning, metadata handling, and query execution
  • Redesigning data organization and folder structures for better lineage and maintainability
  • Enhancing Spark job logic for more efficient processing of batch and real-time data
  • Delivering a comprehensive backlog of future improvements and onboarding paths for new teams

Hylaine worked shoulder-to-shoulder with the client’s engineering team to co-implement and transfer knowledge for sustainable ownership.

Impact & Results

Dramatically improved query performance and pipeline efficiency
Simplified onboarding for new data teams and projects
Reduced cloud processing costs by optimizing Spark execution
Improved data lineage and governance within the data lake
Established a performance-first architecture ready to scale with scientific and operational demands.

CEO Viewpoint

“Change doesn’t have to be messy. We brought structure to the chaos so their teams could ship with confidence and sleep at night.”
— Adam Boitnott, CEO

Power Performance With Purpose

Let’s optimize your cloud data environment to support speed, science, and smarter decisions.