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Malachi Ivey

@malachiivey

Forward Deployed Engineer at Various Startups who architected six production Python pipelines and REST APIs.

At Various Startups, I architected production Python pipelines and REST APIs that integrated third-party platforms, bringing analytics refresh reliability to 99% through automated ingestion, retries, and downstream handoffs.

I also implemented Git-based version control and CI/CD release checks across analytics workflows, reducing release defects by 30%. I built validation suites and schema normalization layers that improved BI-ready data quality by 40%.

At GoMo Health, I built PySpark and Python ingestion workflows for semi-structured records and orchestrated batch text-processing jobs for analytics and RAG-style ingestion. Earlier, at Radicle Health f.k.a., I productionized a churn prediction workflow and scaled ETL/ELT pipelines; at Startups @ Atlanta Tech Village, I delivered React dashboard components and built automated collection scripts and REST endpoints.

Experience

Work history, roles, and key accomplishments

Current

Forward Deployed Engineer

Current

Various Startups

Mar 2023 - Present (3 years 8 months)

Architected 6 production Python pipelines and REST APIs integrating 4 third-party platforms, increasing analytics refresh reliability to 99%. Reduced release defects 30% and improved BI-ready data quality 40% through validation and standardization.

Python REST APIs Git CI CD Data Pipelines Data Quality Data schema normalization Stakeholder Management

Consulting Data Scientist

GoMo Health

Sep 2022 - Dec 2022 (3 months)

Built PySpark and Python ingestion workflows for 1.2M semi-structured JSON records, accelerating analytics and ML dataset delivery by 45%. Reduced downstream data defects by 35% through validation gates and orchestrated batch text-processing jobs.

PySpark Python Data Ingestion Data Validation ETL Orchestration RAG Metadata Extraction

Data Analyst

Radicle Health

Apr 2021 - Oct 2022 (1 year 6 months)

Productionized a churn prediction workflow scoring 80K client records monthly and scaled 7 ETL/ELT pipelines, reducing manual reporting effort by 12 hours per week. Improved on-time data delivery and reduced query runtime by 30%.

Python ETL ELT Data Pipelines Monitoring Alerting Query Optimization Distributed Processing

Consulting Software Engineer

Startups @ Atlanta Tech Village

Jun 2018 - Dec 2020 (2 years 6 months)

Delivered React dashboard components for operations teams, increasing adoption of internal analytics views. Built 12 automated collection scripts and REST endpoints, cutting debugging time by centralizing system monitoring.

React JavaScript REST APIs Automation System Monitoring Data Collection