Open to opportunities

Lyle P

@lylep

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Senior data engineer building scalable cloud ETL pipelines and strategic enterprise data platforms.

France

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What I'm looking for

I’m looking for a Senior/Lead Data Engineering role where I can design scalable cloud ETL and serverless pipelines, improve reliability and performance, and partner cross-functionally to deliver strategic data outcomes with strong engineering practices.

I’m a Senior Data Engineer who turns messy, multi-domain data into reliable, decision-ready pipelines. I focus on scalable workflows, strong data modeling, and optimizing end-to-end data pipeline design and management—so teams can move faster with confidence.

Most recently, at Proxify and Independent Consulting, I designed, built, and maintained serverless pipelines and Streamlit interfaces to process ~500GB of multi-domain data, directly supporting analyst and stakeholder decisions at Trafigura. I also partnered with a CEO at a pre-seed startup to architect a greenfield financial data pipeline ingesting 20 years of SEC filing data across 4,000+ companies into clean, LLM-queryable financial statements.

Previously, as Lead Data Engineer at DataPraxis, I automated a once-manual survey ingestion workflow—saving over 6 hours per survey—and built a self-hosted container-based ingestion and analytics platform from scratch using Google Compute Engine, Docker/Kubernetes, and the Windmill workflow engine. By enforcing team-wide engineering best practices, automated tests, and toolsets, I helped the Analytics team write consistent, bug-free code, and I leveraged AI tools like ChatGPT and Claude Code to improve prototyping speed by 70%.

Earlier, I led mission-critical data engineering at the Municipal Securities Rulemaking Board, overseeing 30 ETL pipelines to improve transparency in the $4 trillion municipal bonds market and spearheading a $50K pipeline upgrade that increased pricing yield curve data availability on 2.7MM securities by 800%. Before that, at Catalist LLC, I led a full restructure of analytics models, improving performance by 60–70%, productionized machine learning to run at scale, and served as a subject matter expert across infrastructure, processes, and analytics—plus I began my path with a Data Science Fellow role where I delivered ML-driven improvements to patient intake compliance.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Proxify and Independent Consulting

Jan 2025 - Present (1 year 5 months)

Designed and maintained serverless data pipelines and Streamlit interfaces to process ~500GB of multi-domain data, enabling stakeholder decision-making. Partnered with a CEO to architect and deliver a greenfield financial data pipeline ingesting 20 years of SEC filings across 4,000+ companies into LLM-queryable financial statements.

Data Pipelines Streamlit ETL Data Modeling LLM Queryable Data Financial Data Engineering Stakeholder Management Workflow Automation

Lead Data Engineer

DataPraxis

Jan 2024 - Jan 2025 (1 year)

Automated an ad hoc survey analytics workflow, saving 6+ hours per ingestion and reducing ingest time from 45 minutes to 3 minutes. Built a self-hosted container-based ingestion and analytics platform (GCE, Docker/Kubernetes, Windmill), implemented team-wide engineering best practices, and improved prototyping speed by 70% using AI tools.

Data Ingestion Docker Kubernetes Google Compute Engine Automated Testing Engineering Best Practices Rapid Prototyping

Data Engineer

Municipal Securities Rulemaking Board

Jan 2022 - Jan 2024 (2 years)

Oversaw data engineering for a $47M+ annual operating budget, creating 30 ETL pipelines that improved transparency across the $4T municipal bonds market and supported $9B+ trades per day. Led a $50K pipeline upgrade as the sole engineer, increasing yield-curve data availability for 2.7M securities by 800% and reducing full data loads from 3 weeks to 6 hours while cutting operating expenses by 95%.

ETL Data Publishing Data Curation Performance Optimization Data Reliability (>=99% Uptime)Metadata DDL Automation

Data Engineer

Catalist LLC

Jan 2019 - Jan 2022 (3 years)

Led a restructure of a suite of 9 analytics models, improving performance by 60–70% and keeping pipelines resilient for 3+ years while saving $200K+ in development time and costs. Productionized ML and analytics models at 1,000,000x scale, improved phone number matching by 4x for 85M records, and mentored a new hire to boost performance by 60%.

Analytics Modeling Data Modeling Mentorship

Data Science Fellow

MATClinics

Jan 2019 - Present (7 years 5 months)

Developed and executed a machine learning study on 50+ patient intake data columns, identifying key metrics and improving intake compliance by 30%. Built a business dashboard and refactored intake workflows to increase data usability by 20 and save $5K+ in operating expenses.

Machine Learning Data Analysis Algorithm Development Dashboarding Experimentation