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Luigi Acorda

@luigiacorda

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Data Engineer building AWS Glue + Spark pipelines for global payments at scale.

Philippines

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What I'm looking for

I’m looking to own scalable data pipelines and backend services—optimizing ETL cost/performance, ensuring data quality, and shipping reliable CI/CD to production. I thrive in teams that value measurable impact and engineering excellence.

I’m a Data Engineer with 4+ years of experience building production data pipelines and backend services for global payment platforms processing millions of transactions per minute. I’m hands-on with AWS Glue, Apache Spark, and Spark SQL for daily ETL, and I bring production-minded rigor to dimensional modeling and analytics-ready data marts.

I’ve led end-to-end ownership of Glue pipelines—covering schema drift, dedup/null/type checks, data validation, and production cutover—while reducing storage and transfer footprint by 80%+ through partitioned Parquet. On the backend side, I owned a Couchbase-backed data service across 10+ microservices, shipped CI/CD automation across toolchains, and resolved 500+ production incidents by tracing issues in Elasticsearch-backed transaction data.

Experience

Work history, roles, and key accomplishments

Data Engineer (Software Engineer II)

Samsung Electronics

Sep 2021 - Nov 2024 (3 years 2 months)

Migrated an analytics ETL workload to a serverless AWS Glue PySpark pipeline, tuning DPU allocation to minimize runtime cost and retiring a legacy Java cron-based service. Built Parquet-based, partitioned ingest from large JSONlines event files, reduced storage/transfer footprint by 80%+, delivered star-schema data marts for Tableau, and owned a Couchbase-backed data service supporting 10+ payment

AWS Glue Apache Spark Pyspark ETL Parquet Star Schemas Elasticsearch

Junior Java Developer

InnoVantage, Inc.

Mar 2020 - Sep 2021 (1 year 6 months)

Reduced API response times from 600ms to under 200ms by rewriting SQL queries, refactoring Spring Boot code, and adding indexes. Built and operated a Spring Boot microservice with validated REST endpoints, Docker/Kubernetes manifests, and Helm charts across dev, staging, and production.

Java Spring Boot REST APIs PostgreSQL SQL Query Optimization Indexing Docker Kubernetes Helm

Research Assistant

Center for Language Technologies, De La Salle University

Sep 2018 - Oct 2019 (1 year 1 month)

Developed LDA topic models and XGBoost classifiers in Python for personality prediction research. Built a PHP web app for participant intake and preprocessing to support downstream modeling workflows.

Python LDA Topic Modeling XGBoost Machine Learning data preprocessing PHP Web Development Data Collection