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Hi, I'm Gideon Ler, a data solutions engineer with experience delivering large-scale, AI-enabled data products across the full lifecycle, from stakeholder discovery and solution design through production deployment and adoption. I thrive at the intersection of engineering and business, turning requirements into scalable, cloud-native architectures and measurable outcomes. I have a strong foundation in AWS, distributed data pipelines, and LLM-powered workflow automation, and I enjoy collaborating with cross-functional teams to operationalize AI/ML models and automation into production workflows.…Hi, I'm Gideon Ler, a data solutions engineer with experience delivering large-scale, AI-enabled data products across the full lifecycle, from stakeholder discovery and solution design through production deployment and adoption. I thrive at the intersection of engineering and business, turning requirements into scalable, cloud-native architectures and measurable outcomes. I have a strong foundation in AWS, distributed data pipelines, and LLM-powered workflow automation, and I enjoy collaborating with cross-functional teams to operationalize AI/ML models and automation into production workflows.

Gideon Ler

AI Engineer, Data Scientist, Full Stack Developer, +3

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Hi, I'm Gideon Ler, a data solutions engineer with experience delivering large-scale, AI-enabled data products across the full lifecycle, from stakeholder discovery and solution design through production deployment and adoption. I thrive at the intersection of engineering and business, turning requirements into scalable, cloud-native architectures and measurable outcomes. I have a strong foundation in AWS, distributed data pipelines, and LLM-powered workflow automation, and I enjoy collaborating with cross-functional teams to operationalize AI/ML models and automation into production workflows.…Hi, I'm Gideon Ler, a data solutions engineer with experience delivering large-scale, AI-enabled data products across the full lifecycle, from stakeholder discovery and solution design through production deployment and adoption. I thrive at the intersection of engineering and business, turning requirements into scalable, cloud-native architectures and measurable outcomes. I have a strong foundation in AWS, distributed data pipelines, and LLM-powered workflow automation, and I enjoy collaborating with cross-functional teams to operationalize AI/ML models and automation into production workflows.

Available to hire

Hi, I’m Gideon Ler, a data solutions engineer with experience delivering large-scale, AI-enabled data products across the full lifecycle, from stakeholder discovery and solution design through production deployment and adoption. I thrive at the intersection of engineering and business, turning requirements into scalable, cloud-native architectures and measurable outcomes.

I have a strong foundation in AWS, distributed data pipelines, and LLM-powered workflow automation, and I enjoy collaborating with cross-functional teams to operationalize AI/ML models and automation into production workflows.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Work Experience

Data Engineer (Platform and Data Engineering) at Ensign InfoSecurity

July 1, 2024 - Present

Led design and implementation of a threat intelligence platform processing over 1M indicators daily, enabling consulting teams to perform faster investigations and reducing manual analysis effort by 40%. Redesigned intelligence enrichment workflows to improve processing throughput by 20x and expand intelligence coverage. Delivered integrations between external intelligence providers and internal platforms, improving data accessibility and interoperability across consulting and investigation teams. Collaborated with AI/ML teams to operationalize malware classification and phishing detection solutions for customer-facing use cases. Deployed Model Context Protocol (MCP) services to create a unified data access layer, reducing query complexity for downstream teams and improving cross-product integration efficiency. Automated IOC expansion using VirusTotal hash pivoting, strengthening threat intelligence coverage for engagements. Conducted exploratory big data analysis to translate findings

Business Analyst Intern at Accenture

May 1, 2022 - August 1, 2022

Facilitated data migration by creating Python Spark jobs to perform ETL for over 124GB of transactional data from Amazon S3 into the PEGA system, using AWS Glue and PySpark. Planned and conducted performance tests for the UAT server using Apache JMeter, coordinating with stakeholders for test deployment. Improved system throughput by 25% through performance testing and bottleneck resolution.