Arian Fernandez Rodriguez
Verified Expert in Engineering
Data Engineer and Developer
Lima, Callao Region, Peru
Toptal member since March 31, 2026
Arian is a senior data engineer based in Lima. He specializes in Palantir Foundry, ontology modeling, workshop modules, PySpark pipelines, and TypeScript action types. With 4+ years of experience across fintech and retail, he has hands-on experience across the modern data stack, including AWS, Azure, Airflow, and Databricks.
Portfolio
Experience
- Data Structures - 4 years
- Spark - 4 years
- Amazon Web Services (AWS) - 4 years
- SQL - 4 years
- Python - 4 years
- Swift - 3 years
- Palantir Foundry - 1 year
- TypeScript - 1 year
Preferred Environment
Python, TypeScript, MacOS, Palantir Foundry, Azure, Amazon Web Services (AWS), Supabase, Swift, Azure Databricks, Spark
The most amazing...
...store localization workshop I've developed in Palantir Foundry enabled business teams to make real-time decisions on product placement and SKU distribution.
Work Experience
Senior Full-stack Developer, Planatir Foundry
CVS Health
- Modeled input and writeback datasets to handle user-defined constraints from the workshop module, developing scalable pipelines with Pipeline Builder and PySpark transformations in Palantir Foundry, leveraging Snowflake as the primary data source.
- Created and maintained ontology objects in Palantir Foundry and developed TypeScript action types to capture and persist workshop actions for reliable integration across pipelines.
- Designed and deployed workshop modules in Palantir Foundry for CVS Health, building on the object data layer with Actions and Functions to support interactive planogram and SKU localization scenarios.
Senior Data Engineer
Intelica
- Reduced processing time from 4 days to 4 hours and Write IOPS costs in RDS from USD $1,500 to $300 daily by optimizing queries.
- Designed the plan to implement the migration from a data warehouse to a data lake, optimizing processing costs and processing time efficiency using Spark, S3, and Glue.
- Increased data processing efficiency by 30% and reduced manual effort by 50%, through parsing and automated extraction of complex transaction reports into CSV using Python and AWS Lambda.
Data Engineer
Tranzact
- Enhanced pipeline reliability and reduced manual intervention by 95% through the development of a serverless retry handler for failed DAGs using AWS SQS, Lambda, DynamoDB, and Airflow REST APIs.
- Optimized pipelines from 10 to 1, reducing monitoring and maintenance time significantly while ensuring streamlined data workflows.
- Decreased manual infrastructure set-up time by 40% by automating provisioning in AWS and Azure using Terraform scripts.
Experience
Fitness Tracker App
https://prup.app/Education
Bachelor's Degree in Systems Engineering
University of Lima - Lima, Peru
Certifications
Databricks Certified Data Engineer Associate
Databricks
Skills
Libraries/APIs
Node.js
Tools
Apache Airflow
Languages
Python, Swift, SQL, TypeScript, JavaScript
Frameworks
Spark, Ontology Framework, Apache Spark
Paradigms
ETL
Platforms
Palantir Foundry, Databricks, MacOS, Azure, Amazon Web Services (AWS), Linux
Storage
PostgreSQL, Amazon S3 (AWS S3), Data Pipelines
Other
Data Structures, Coding, Palantir, Data Engineering, Supabase, Azure Databricks, Algorithms, System Design, Azure Data Lake, Big Data, Medallion Architecture, APIs
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