Case Studies

Challenge

An international energy consulting firm needed a comprehensive system to track global energy commodity movements across multiple countries. Their analysts were spending significant time manually collecting data from disparate sources, leading to delays in critical market analysis.

Solution

We developed a multi-component data platform that automated the entire data collection and distribution process:

• ▸Automated data feeds from specialized energy commodity APIs
• ▸Designed and implemented a normalized SQL Server relational database
• ▸Built a custom Excel VBA application for firm-wide data access
• ▸Created Python-based web scraping consolidating data from 10+ countries
• ▸Implemented multi-format data extraction (PDF, DOCX, XLS)
• ▸Custom alerting system for critical market events

Impact

Challenge

A data processing startup needed to scale their document extraction system to handle thousands of documents daily while maintaining accuracy and minimizing processing time. Their existing solution struggled with diverse document formats and couldn't handle peak loads.

Solution

We architected and maintained a cloud-native processing pipeline leveraging the best of Azure and GCP:

• ▸Hybrid OCR strategy using both Azure and GCP vision APIs
• ▸RabbitMQ-based message queuing for reliable async processing
• ▸High-performance PostgreSQL database for efficient retrieval
• ▸RESTful API delivering sub-second response times
• ▸Separate web scraping solution for legal data gathering

Impact

Challenge

A mobile app portfolio company was struggling with fragmented data from multiple ad networks, unreliable third-party tools costing thousands monthly, and lack of visibility into data pipeline health. They needed a unified analytics platform to drive decision-making.

Solution

We built a comprehensive data platform on Snowflake and GCP that unified all data sources:

• ▸Custom alerting framework for Snowflake data quality monitoring
• ▸Automated data feeds from Facebook, Google, TikTok, Unity, AppLovin
• ▸Marketing spend and revenue reconciliation pipelines
• ▸Refactored pipelines eliminating inefficiencies
• ▸Replaced expensive third-party tools with in-house solutions
• ▸Orchestrated with Airflow for reliable execution

Impact

Challenge

An enterprise client was operating a 40-year-old DB2 mainframe system that was costly to maintain, difficult to extend, and lacked modern analytics capabilities. They needed a complete modernization strategy that wouldn't disrupt ongoing operations.

Solution

We led a comprehensive cloud migration project delivered in under six months:

• ▸Architected modern data warehouse using Azure Synapse Analytics
• ▸Implemented Azure Data Lake for scalable storage layer
• ▸Designed migration strategy ensuring zero data loss
• ▸Built comprehensive data cleansing and validation pipelines
• ▸Developed Power BI dashboards replacing 100+ legacy reports
• ▸Phased cutover strategy minimizing business disruption

Impact

Challenge

An energy trading startup needed mission-critical infrastructure to support high-frequency electricity trading operations. The system required real-time data from multiple European energy exchanges with zero tolerance for data loss or delays.

Solution

We designed and built a comprehensive data architecture from the ground up:

• ▸Time-series database with TimescaleDB for high-frequency data
• ▸100+ parallel data pipelines from European energy sources
• ▸Integrated with ENTSOE (European transmission operators)
• ▸Connected to JAO for cross-border capacity allocation
• ▸Built redundancy and failover for 24/7 availability
• ▸Implemented sub-minute data freshness for trading signals

Impact