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Judie Mar Delantar

@judiemardelantar

Message

Senior Data & AI Engineer building reliable data platforms and LLM workflows.

Philippines

Message

What I'm looking for

I’m looking to build high-reliability ETL/ELT pipelines, cloud-native analytics, and LLM-integrated workflows. I want to own orchestration and performance improvements end-to-end, and deliver AI-enabled data products that measurably improve uptime, latency, and ops efficiency.

I’m a Senior Data & AI Engineer with 12+ years of experience building scalable data platforms, cloud-native analytics systems, and LLM-integrated workflows across US and Asia-based organizations. I specialize in high-reliability ETL/ELT pipelines, workflow orchestration systems, and AI-enabled data products.

In my recent role at WegoWise, I architected distributed ETL/ELT pipelines automating large-scale utility data ingestion and validation, improving pipeline reliability by 40% to achieve 99.8% uptime. I also reduced analytics query latency from 19s to under 4s through PostgreSQL optimization and enabled benchmarking across 27,000+ properties.

I build production-grade RAG pipelines and OpenAI API-integrated workflows for automated analysis, reporting, and anomaly detection—cutting investigation time by 60%. I lead architecture decisions, mentor engineers on Airflow and SQL optimization, and focus on delivering reliable, measurable outcomes at scale.

Experience

Work history, roles, and key accomplishments

Senior Data & AI Engineer

WegoWise

Jan 2022 - Mar 2026 (4 years 2 months)

Architected distributed ETL/ELT pipelines for utility data ingestion and validation, improving pipeline reliability by 40% to 99.8% uptime using Airflow orchestration and monitoring. Built time-series analytics and RAG/LLM workflows that reduced query latency from 19s to under 4s and cut investigation time by 60%.

Python Apache Airflow ETL ELT AWS Snowflake RAG Distributed Systems Docker

Data Engineer

Modus Create

Mar 2019 - Dec 2021 (2 years 9 months)

Built scalable ETL/ELT pipelines to unify data from Shopify, Stripe, HubSpot, Salesforce, and QuickBooks into centralized warehouses. Increased pipeline performance 3x, reduced Snowflake costs by 30%, improved reliability to 99.9% uptime, and automated reporting to save ~35 hours/week.

Python SQL Apache Airflow Snowflake PostgreSQL AWS Data Warehousing Data Modeling CI CD

Junior Data Engineer

Exist Software Labs

Jun 2016 - Feb 2019 (2 years 8 months)

Developed ETL pipelines and reporting systems that reduced manual reporting workload by 61% and migrated legacy reporting into PostgreSQL for 4M+ records. Improved query performance by 43% via indexing/query optimization and increased reporting accuracy by 89% using automated data validation and CSV processing.

Python SQL PostgreSQL MySQL ETL Query Optimization Indexing Data Validation CSV

Associate Data Engineer

Orange & Bronze Software Labs

Aug 2014 - May 2016 (1 year 9 months)

Transitioned spreadsheet-based reporting into structured database systems and built Python automation for CSV processing and validation. Maintained MySQL/PostgreSQL reporting databases and automated recurring workflows to improve operational efficiency by 41%.

Python SQL MySQL PostgreSQL CSV Data Validation Workflow Automation Reporting Systems