Key Strengths

Extensive experience with cloud platforms (AWS, GCP, Azure) and Infrastructure as Code (Terraform, ARM templates).
Strong background in data engineering, streaming platforms, and MLOps (Kinesis, Pub/Sub, Glue ETL, ML pipelines).
Proficiency in Python for backend development, data processing, and automation.
Demonstrated ability to build and manage containerized applications (Docker, Nginx) and CI/CD workflows.
Experience with declarative tools and policy enforcement (Open Policy Agent, manifest.yaml).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's portfolio is heavily focused on personal projects, demonstrating strong initiative and a passion for learning and building. The diversity of projects across cloud platforms, data engineering, and MLOps suggests adaptability and a broad technical interest. However, the lack of team-based or collaborative project descriptions makes it difficult to assess cultural fit in a team environment. The 'Freelance Software Engineer' role, while current, lacks details on team interaction or company culture exposure.

Soft Skills & Operational Fit

The candidate's project descriptions indicate a problem-solving mindset and an ability to identify and address inefficiencies in workflows. The focus on 'reliable, auditable pipelines' and 'detecting anomalies' suggests an attention to detail and operational robustness. However, without direct assessment data, specific soft skills like teamwork or stress handling cannot be definitively evaluated.

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Oluwagbade Odimayo

Software Engineer

https://www.opentalent.in/oluwagbade-odimayo

Machine Learning || Data Engineering || Data Science || Bionformatics

Freelance

Member since June 21, 2026

https://www.opentalent.in/oluwagbade-odimayo

Top Skills

ShellHCLJavaScriptDockerfilePythonMakefileGo TemplateOpen Policy AgentMako

Skills

ShellHCLJavaScriptDockerfilePythonMakefileGo TemplateOpen Policy AgentMako

Experience

Freelance

Software Engineer

June 21, 2026 – Present

Projects

enterprise-progressive-delivery-eks

June 1, 2026 – Present

enterprise-progressive-delivery-eks — repository

View Project

clintrial-stream

May 8, 2026 – Present

Real-time clinical trial event streaming platform on AWS - Kinesis, DynamoDB, Flask, Cognito, Terraform

View Project

swiftdeploy

May 4, 2026 – Present

genomicflow-platform

May 3, 2026 – Present

Real-time clinical genomics data platform on GCP — Pub/Sub streaming, BigQuery warehouse, Cloud Run API, Looker Studio dashboard, Terraform IaC

View Project

bioseq-platform

May 2, 2026 – Present

Production-grade AWS data engineering platform for bioinformatics — NCBI SRA ingestion, multi-zone S3 data lake, Glue ETL, Athena SQL, PostgreSQL star schema, FastAPI, Docker, Terraform IaC

View Project

ml-training-pipeline-ci

March 13, 2026 – Present

This project demonstrates an automated engineering workflow for a machine learning inference service. It connects model training, artifact generation, API integration, automated testing, Docker packaging, and CI execution into a single reproducible pipeline.

View Project

ml_inference_api

March 8, 2026 – Present

This project demonstrates how a trained machine learning model can be transformed into a production‐style inference service. The system moves beyond notebook experimentation and implements the engineering components required to operate ML models as deployable services.

View Project

Project---Data-Pipeline-Improvement

January 31, 2026 – Present

This project identifies inefficiencies in a manual reporting workflow and redesigns it into a reliable, auditable pipeline that reduces manual effort and improves data governance.

View Project

Project-Asset-Lifecycle-Monitoring

January 30, 2026 – Present

The objective of this project is to simulate **continuous lifecycle monitoring** of meter assets and identify data integrity issues that pose operational, billing, or regulatory risk. The project focuses on **detecting anomalies, validating findings, and delivering escalation-ready outputs** rather than performing data remediation.

View Project

Key Strengths

Extensive experience with cloud platforms (AWS, GCP, Azure) and Infrastructure as Code (Terraform, ARM templates).
Strong background in data engineering, streaming platforms, and MLOps (Kinesis, Pub/Sub, Glue ETL, ML pipelines).
Proficiency in Python for backend development, data processing, and automation.
Demonstrated ability to build and manage containerized applications (Docker, Nginx) and CI/CD workflows.
Experience with declarative tools and policy enforcement (Open Policy Agent, manifest.yaml).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit