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Project · Hackathon project

Odin Analytica

Backend services, versioned REST APIs, and ETL pipelines for real-time data ingestion, validation, and client integrations.

Founding Software EngineerHackathon project

Overview

Odin Analytica is an early-stage traffic analytics venture where I focused on modular backend services, data pipelines, and versioned APIs—building reliable ingestion, SQL persistence, and integrations for client-facing applications.

Product

Backend services, versioned REST APIs, and ETL pipelines for real-time data ingestion, validation, and client integrations.

Audience / need

Production systems needed reliable real-time ingestion, validation, and APIs that could handle noisy data while remaining maintainable an…

Ownership

Developed modular, testable backend services and versioned REST APIs for real-time data ingestion, validation, SQL persistence, and integ…

Result

~20% — Latency

What I built

  • Developed modular, testable backend services and versioned REST APIs for real-time data ingestion, validation, SQL persistence, and integration with client-facing applications.
  • Monitored and debugged production services, redesigning data ingestion with a publish-subscribe architecture to reduce end-to-end latency by 20% while improving reliability and scalability.
  • Collaborated with engineers and project stakeholders in an Agile environment, contributing to design reviews, API integrations, and technical documentation while translating product requirements into tested backend features.
  • Built modular, testable Python services, ETL pipelines, and versioned RESTful APIs, automating structured data ingestion and improving the reliability, maintainability, and scalability of production systems.
  • Improved backend performance by analyzing application logs, profiling data flows, and redesigning ingestion workflows using a publish-subscribe architecture, reducing end-to-end latency by 20% while improving production reliability and scalability.
  • Collaborated with software engineers, product managers, and non-technical stakeholders in an Agile environment, communicating technical tradeoffs, participating in design discussions, and translating business requirements into backend features, API integrations, and technical documentation.
  • Developed backend services and versioned REST APIs for real-time ingestion and system integrations, implementing API contracts and validation to handle noisy data and improve system reliability.
  • Optimized end-to-end pipeline through profiling, load testing, and bottleneck isolation, reducing latency by 20% while maintaining throughput under real-time streaming constraints.
  • Defined API contracts, schemas (JSON), and validation layers significantly reducing integration errors and debugging time.

Key results

~20%

Latency

End-to-end latency reduction via publish-subscribe redesign

Technology stack

Backend
Python · FastAPI
Data
SQL
Other
REST APIs · ETL · Publish-subscribe