DATA PLATFORM BUILDER
Modern Data Stack
Build a production-ready data platform from scratch. From data ingestion to real-time analytics with best-in-class open source tools.
Key Features
End-to-end data pipeline design
DBT transformation layer
Real-time data streaming
Analytics dashboard setup
How We Work Together
A proven methodology that delivers results
Discovery
We start with understanding your business, challenges, and goals through workshops and interviews.
Design
Together we design the solution architecture and create a detailed implementation plan.
Deliver
Iterative implementation with regular demos and feedback loops to ensure alignment.
Support
Post-launch support, knowledge transfer, and ongoing optimization recommendations.
Use Cases
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End-to-end data pipeline design -
Business analytics platform -
Modern data warehouse setup -
Real-time data streaming
Ideal For
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Data-driven organizations -
Growing analytics needs -
Multiple data sources to integrate
Not Ideal For
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Simple reporting needs (use BI tools) -
Single data source -
No data-driven culture
Deliverables
Deliverables
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01Production data ingestion pipeline
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02DBT transformation models and documentation
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03Analytics dashboard with key business metrics
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04Data governance and lineage documentation
Technology Stack
Timeline
12-20 weeks
Estimated project duration
Related Case Studies
RAG Document Processing System
At Insly, I led development of a RAG (Retrieval-Augmented Generation) system that gives insurance brokers fast, context-aware answers about policy details. The system combines traditional search with vector embeddings to handle complex queries across 23 different insurance providers.
Challenge
Insurance brokers needed to quickly find relevant information across thousands of policy documents from 23 different insurers, each with unique formats and terminology.
Fleet Analytics & Driver Planning Platform
I built a fleet analytics platform for a logistics company managing 300+ trucks and 400+ drivers. The system aggregates data from multiple internal sources—scheduling system (Navigator), HR database, and vehicle registry—to provide unified reporting on driver-vehicle balance, anomaly detection, and operational metrics.
Challenge
Operations data scattered across scheduling system, HR database, and vehicle registry with no unified view of driver availability vs fleet capacity.
Microservices Migration
CloudAcademy needed to migrate their content authorization service from Kotlin to Go as part of a broader standardization effort. I led this migration while ensuring zero downtime and creating new microservices following DDD patterns.
Challenge
Legacy Kotlin service had performance bottlenecks and was difficult to maintain. Team needed to standardize on Go for better consistency across microservices.
Ready to Transform Your Business?
Let's discuss how I can help you achieve your goals. The first consultation is free.