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.

12-20 weeks
5 technologies
4 deliverables

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

1

Discovery

We start with understanding your business, challenges, and goals through workshops and interviews.

2

Design

Together we design the solution architecture and create a detailed implementation plan.

3

Deliver

Iterative implementation with regular demos and feedback loops to ensure alignment.

4

Support

Post-launch support, knowledge transfer, and ongoing optimization recommendations.

Use Cases

  • End-to-end data pipeline design
  • Business analytics platform
  • Modern data warehouse setup
  • Real-time data streaming

Ideal For

  • Data-driven organizations
  • Growing analytics needs
  • Multiple data sources to integrate

Not Ideal For

  • Simple reporting needs (use BI tools)
  • Single data source
  • No data-driven culture

Deliverables

Deliverables

  • 01
    Production data ingestion pipeline
  • 02
    DBT transformation models and documentation
  • 03
    Analytics dashboard with key business metrics
  • 04
    Data governance and lineage documentation

Timeline

12-20 weeks

Estimated project duration

Related Case Studies

Insurance Technology

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.

90% Faster document lookup
25+ Projects managed in monorepo
23 Insurers integrated via Calcly
Python FastAPI Elasticsearch Qdrant AWS Bedrock Go PostgreSQL
Logistics & Transportation

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.

40% Driver-vehicle balance visibility
100K+ Anomaly types detected automatically
15min Reports generated daily
Go PostgreSQL Redis Kubernetes gRPC TimescaleDB
EdTech / E-Learning

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.

3x Performance improvement
60% Reduced memory usage
0 Downtime during migration
Go Python AWS Kubernetes Docker gRPC PostgreSQL

Ready to Transform Your Business?

Let's discuss how I can help you achieve your goals. The first consultation is free.