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CASE STUDIES 

Real challenges.
Thoughtful solutions.

Measurable impact.

Every engagement is different. Every solution starts with understanding.

Here's how thoughtful engineering turns complexity into clarity.

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HR SaaS ● Data Engineering

Building a Scalable Data Foundation

As reporting requirements grew, disconnected data sources and manual transformations made it increasingly difficult to deliver trusted business insights.

​I designed and implemented a scalable AWS-based data platform, creating reliable pipelines that consolidated multiple data sources into a single reporting foundation. The result was faster data availability, improved consistency, and a platform capable of supporting future analytics initiatives.

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Outcome

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Reduced manual data preparation and established a trusted foundation for reporting and analytics.

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Reliable Foundations

Build once. Scale with confidence.

Business Intelligence

Turning Data Into Decisions

Business leaders had access to reports, but inconsistent metrics and disconnected dashboards made it difficult to trust the information behind strategic decisions.

Working closely with stakeholders, I developed reporting solutions aligned with the business's operational goals, ensuring KPIs reflected meaningful and consistent measures across departments.

 

Outcome

 

Improved visibility into business performance and increased confidence in decision-making through trusted reporting.

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Trusted Reporting

Better decisions start with better data.

Data Quality

Fixing the Data at the Source

Rather than correcting issues inside reports, I investigated where inconsistencies originated throughout the data pipeline whether originating in the codebase or in ETL processes.​

By identifying data quality issues at their source and introducing validation, transformation, and cleansing processes, reporting became significantly more reliable while reducing downstream maintenance.

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Outcome

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Improved data quality, reduced recurring reporting issues, and created a more dependable analytics environment.

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Data Quality First

Fix the source, not the symptom.

Automation

Automating the Repetitive

Manual reporting and repetitive operational tasks were consuming valuable time and increasing the likelihood of human error.

Using SQL and Python, I automated data preparation, reporting workflows, and repetitive business processes, allowing teams to spend less time preparing data and more time using it.

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Outcome

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Reduced manual effort, improved consistency, and created repeatable processes that scaled with the business.

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Automation

Remove repetitive work. Focus on what matters.

The Client Perspective

One partnership. Five years of evolving capability.

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“Dark Dog Solutions has been an important partner for the past five years, providing us with valuable data, business intelligence and reporting expertise.”

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“During this time, Yolanda has played a key role in building and improving our scalable data platform on AWS, delivering trusted dashboards and reporting, and developing reusable analytics capabilities for deployment across our customer base.”

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“Her contribution has helped us reduce manual effort, improve confidence in our data, and extend our product offering to include valuable embedded analytics.”

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I would confidently recommend Yolanda to organisations looking for experienced and dependable data-, BI-, and technical delivery expertise.

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Carl Warburg • Chief Product Officer ​• Graylink

5 Years

Long-Term

Partnership

AWS

Scalable Data

Platform

REUSABLE
Analytics capability

EMBEDDED
Analytics product offering

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Trusted to build the foundation.

Trusted to deliver the results.

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