Clear solutions to complex problems

We provide
clear solutions
to complex problems

Fairsight represents the culmination of over 8 years of enterprise experience. These case studies represent the engineering standards brought to every new engagement.

Leading Insurer

Challenge

Legacy on-premise silos were causing 4-hour latency in reporting.

Solution

Implemented a real-time Kafka-to-BigQuery pipeline using Terraform and Python

Result

Reduced reporting latency from 4 hours to near real-time, improving decision-making and operational efficiency.

Challenge

Legacy on-premise silos were causing 4-hour latency in reporting.

Solution

Implemented a real-time Kafka-to-BigQuery pipeline using Terraform and Python

Result

Reduced reporting latency from 4 hours to near real-time, improving decision-making and operational efficiency.

Challenge

Legacy on-premise silos were causing 4-hour latency in reporting.

Solution

Implemented a real-time Kafka-to-BigQuery pipeline using Terraform and Python

Result

Reduced reporting latency from 4 hours to near real-time, improving decision-making and operational efficiency.

Client

Global Retailer

Challenge

Disparate data sources across 50+ countries preventing unified analytics and customer insights.

Solution

Built a centralized data lake on AWS S3 with automated ETL pipelines using Apache Airflow and Spark

Result

Unified data from 50+ countries into a single source of truth, enabling real-time global analytics and improving customer segmentation accuracy by 35%.

Healthcare Provider

Challenge

Patient data scattered across 12 different systems with no unified view for clinicians.

Solution

Developed a unified patient portal using React and FastAPI with Azure backend integration

Result

Consolidated patient records into single view, reducing clinician lookup time by 70% and improving patient care coordination.

Challenge

Manual deployment processes causing 2-day release cycles and frequent production issues.

Solution

Implemented CI/CD pipeline using GitHub Actions, Docker, and automated testing suites

Result

Reduced deployment time from 2 days to 30 minutes, achieved 99.9% uptime, and decreased production incidents by 85%.

Challenge

API performance degradation affecting 10,000+ daily users during peak hours.

Solution

Optimized FastAPI endpoints, implemented caching strategies, and scaled Azure infrastructure

Result

Reduced API response time from 3s to 200ms, improved user satisfaction scores by 45%, and eliminated peak-hour bottlenecks.

Client

Financial Services Firm

Challenge

Manual reconciliation processes taking 5 days per month causing regulatory compliance risks.

Solution

Automated reconciliation workflows using Python, SQL, and Power BI for real-time monitoring

Result

Reduced reconciliation time from 5 days to 2 hours, eliminated manual errors, and improved audit trail compliance by 100%.

LANGUAGES

TypeScript

Python

SQL

FRAMEWORKS

React

Next.js

FastAPI

Flask

Pandas

DATABASES

PostgreSQL

MongoDB

Snowflake

DynamoDB

ORCHESTRATION

Prefect

VISUALISATION

Power BI

Tableau

CLOUD

AWS

Azure

DEVOPS

Docker

Terraform

GitHub Actions

Leading Insurer

Healthcare Provider

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