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Ronny Pacheco

@ronnypacheco

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Senior software engineer specializing in scalable data platforms, pipelines, and cloud analytics.

United States

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What I'm looking for

I seek a role building scalable data platforms and reliable pipelines in collaborative, data-driven teams, focused on performance, observability, and impact.

I am a Senior Software Engineer with deep experience designing and maintaining scalable data platforms within large financial environments, building reliable batch and streaming pipelines, and optimizing analytical infrastructure using modern cloud and distributed technologies.

At major financial institutions I developed large-scale Spark and Kafka workflows, implemented automated ETL/ELT with Airflow, and improved query performance and resource efficiency through optimized PySpark and SQL transformations—driving measurable improvements such as 32% faster downstream analytics and reduced long-running workloads by 28%.

I value reliability, observability, and collaboration with analytics and product teams to deliver analytics-ready datasets, enable near-real-time reporting, and ensure data quality across complex enterprise systems.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

Citi

Apr 2025 - Present (1 year)

Developed large-scale batch and streaming data pipelines using Apache Spark and Kafka to process financial transaction datasets; implemented Airflow ETL workflows and PySpark/SQL transformations that improved query responsiveness and downstream analytical efficiency by 32%.

Apache Spark Kafka Pyspark Apache Airflow SQL CDC Monitoring Cloud Storage

Senior Software Engineer

JPMorgan Chase & Co.

Jan 2024 - Apr 2025 (1 year 3 months)

Built distributed Spark workflows and ELT pipelines ingesting multi-terabyte datasets into enterprise warehouses, automated orchestration with Airflow, and implemented optimizations that reduced long-running analytical workloads by 28%.

Apache Spark SQL Airflow ELT Docker Data Validation Partitioning Performance Tuning

Software Engineer

JPMorgan Chase & Co.

May 2022 - Jan 2024 (1 year 8 months)

Implemented scalable ingestion pipelines and PySpark/SQL transformation workflows to produce analytics-ready datasets, introduced metadata tracking and lineage, and reduced compute consumption by 21%.

Pyspark SQL Data Ingestion Data Modeling Data Lineage Spark Cluster Deployment Scheduling

Software Engineer

JPMorgan Chase & Co.

Jul 2019 - May 2022 (2 years 10 months)

Developed backend services and SQL-based transformation scripts to extract and aggregate transactional data for enterprise reporting, improved recurring transformation job performance by 18% and implemented data validation checks.

SQL ETL Batch Processing Data Validation Backend Services Troubleshooting Performance Optimization

Education

Degrees, certifications, and relevant coursework

Florida International University

Bachelor of Science, Computer Science

2015 - 2018

Completed a Bachelor’s degree in Computer Science with coursework in software engineering, data structures, and databases to support careers in data engineering and large-scale systems.